The Intel® Edge Software Device Qualification is a Command Line Interface (CLI) tool that enables customers to test and qualify their platform for a specific Intel® Edge Software package.

Tool Suite Information

Package Name	esdq
Package Version	11.1.0
Package CLI Version	11.1.0

Test Module Information

Module Name	Metro Device Qualification Test
Module Version	2.0

Test Case Execution Summary

Total Test Cases	8
Total Test Cases Passed	8
Total Test Cases Failed	0
Total Test Cases with Unknown Result	0
Pass Percentage (%)	100.00
Verdict	PASSED

Test Module Components

Category	Name	Version	Status
generic	Docker CE	28.4.0	Installed
Docker Images	metro2.0/media_performance_benchmark_runner	2.0	Installed
Docker Images	metro2.0/ai_frequency_measure_runner	2.0	Installed
Docker Images	metro2.0/proxy_pipeline_benchmark_runner	2.0	Installed
Docker Images	metro2.0/openvino_benchmark_runner	2.0	Installed
Docker Images	metro2.0/stream_memory_benchmark	2.0	Installed

Additional Data

System Info

Section	Field	Value
HARDWARE INFO	Device Manufacturer
HARDWARE INFO	Hardware Architecture	x86_64
HARDWARE INFO	Processor	Intel(R) N97
HARDWARE INFO	GPU PCI ID	46d1 (Intel® UHD Graphics)
HARDWARE INFO	GPU Memory Size	256M (Intel® UHD Graphics)
HARDWARE INFO	Memory Size	31Gi
HARDWARE INFO	Monitor	Monitors: 1
HARDWARE INFO	Monitor	0: +*DP-1 1920/600x1080/340+0+0 DP-1
HDD Configurations	Model	TS512GSS D472K-I (scsi)
HDD Configurations	Disk /dev/sda	512GB
HDD Configurations	Sector size (logical/physical)	512B/4096B
HDD Configurations	Partition Table	gpt
HDD Configurations	Disk Flags	Number Start End Size File system Name Flags
HDD Configurations	Disk Flags	1 1049kB 1128MB 1127MB fat32 boot, esp
HDD Configurations	Disk Flags	2 1128MB 256GB 255GB ext4

BIOS Configuration

bios_config.txt

CPU Power Configuration

cpu_power_config.txt

Software Info

Section	Field	Value
SOFTWARE INFO	OS Version	Ubuntu 24.04.2 LTS
SOFTWARE INFO	Kernel Version	6.14.0-29-generic
SOFTWARE INFO	OpenVINO Version (Base)	2025.2.0
SOFTWARE INFO	OpenVINO Version (for DLStreamer)	2025.2.0
SOFTWARE INFO	OpenVINO Version (for OpenCV/FFMpeg)	2025.2.0
SOFTWARE INFO	Docker CE Version	28.4.0
SOFTWARE INFO	Docker Compose Version	2.39.2
SOFTWARE INFO	Intel Level Zero for GPU	NA
SOFTWARE INFO	Intel Graphics Compiler for OpenCL	25.05.32567.19-1099
SOFTWARE INFO	Libva / VAAPI Driver	NA
SOFTWARE INFO	Media-driver Version	25.2.4-1146~24.04
SOFTWARE INFO	Intel OneVPL	1:2.15.0.0-1140
SOFTWARE INFO	Mesa	NA
SOFTWARE INFO	OpenCV Version	4.11.0.86
SOFTWARE INFO	DLStreamer Version	1.26.4
SOFTWARE INFO	FFmpeg Version	6.1.1-3ubuntu5
SOFTWARE INFO	NPU Version	1.19.0.20250707-16111289554
SOFTWARE INFO	Current System Time	2025-09-22 08:38:14

Test Case Results

performance

Category	Name	Value Type	Logic Type	Expected Value	Value	Parameters	Status
-generic
generic	OpenVINO Benchmark Test	text	eq	No Error	No Error	na	PASSED
generic	Memory Benchmark Test	text	eq	No Error	No Error	na	PASSED
generic	Media Performance Test	text	eq	No Error	No Error	na	PASSED
generic	GPU Freq Performance Test	text	eq	No Error	No Error	na	PASSED
generic	Smart NVR Proxy Pipeline Benchmark Test	text	eq	No Error	No Error	na	PASSED
generic	Headed Visual AI Proxy Pipeline Benchmark Test	text	eq	No Error	No Error	na	PASSED
generic	VSaaS Gateway with Storage Proxy Pipeline Benchmark Test	text	eq	No Error	No Error	na	PASSED
generic	License Plate Recognition(LPR) AI Proxy Pipeline Benchmark	text	eq	No Error	No Error	na	PASSED

Additional Data

resnet-50-tf OV Benchmark Result

Model	Precision	Device	Throughput (fps)	Latency (ms)	Reference Platform	Reference Throughput (fps)	Reference GPU Freq (GHz)	CPU Avg Freq (GHz)	CPU Util (norm) (%)	Memory Util (%)	GPU Freq (GHz)	GPU EU Util (%)	GPU VDBox Util (%)	GPU Power Util (W)	Package Power (W)	Result
resnet-50-tf	INT8	GPU.0	118.26	539.89	i5-12400 (16G Mem)	199.34	1.55	2.89	73.01	1.76	1.12	93.4	0.0	4.54	12.22	No Error

resnet-50-tf OV Benchmark Result Chart

efficientnet-b0 OV Benchmark Result

Model	Precision	Device	Throughput (fps)	Latency (ms)	Reference Platform	Reference Throughput (fps)	Reference GPU Freq (GHz)	CPU Avg Freq (GHz)	CPU Util (norm) (%)	Memory Util (%)	GPU Freq (GHz)	GPU EU Util (%)	GPU VDBox Util (%)	GPU Power Util (W)	Package Power (W)	Result
efficientnet-b0	INT8	GPU.0	347.95	183.74	i5-12400 (16G Mem)	510.83	1.56	2.9	74.99	1.88	1.07	89.67	0.0	4.1	12.22	No Error

efficientnet-b0 OV Benchmark Result Chart

ssdlite_mobilenet_v2 OV Benchmark Result

Model	Precision	Device	Throughput (fps)	Latency (ms)	Reference Platform	Reference Throughput (fps)	Reference GPU Freq (GHz)	CPU Avg Freq (GHz)	CPU Util (norm) (%)	Memory Util (%)	GPU Freq (GHz)	GPU EU Util (%)	GPU VDBox Util (%)	GPU Power Util (W)	Package Power (W)	Result
ssdlite_mobilenet_v2	INT8	GPU.0	252.87	15.77	i5-12400 (16G Mem)	410.76	1.55	2.93	76.05	1.16	1.16	96.63	0.0	4.02	12.25	No Error

ssdlite_mobilenet_v2 OV Benchmark Result Chart

mobilenet-v2-pytorch OV Benchmark Result

Model	Precision	Device	Throughput (fps)	Latency (ms)	Reference Platform	Reference Throughput (fps)	Reference GPU Freq (GHz)	CPU Avg Freq (GHz)	CPU Util (norm) (%)	Memory Util (%)	GPU Freq (GHz)	GPU EU Util (%)	GPU VDBox Util (%)	GPU Power Util (W)	Package Power (W)	Result
mobilenet-v2-pytorch	INT8	GPU.0	795.55	80.36	i5-12400 (16G Mem)	1223.27	1.55	2.77	73.85	1.6	1.14	94.63	0.0	4.66	12.17	No Error

mobilenet-v2-pytorch OV Benchmark Result Chart

yolo-v5s OV Benchmark Result

Model	Precision	Device	Throughput (fps)	Latency (ms)	Reference Platform	Reference Throughput (fps)	Reference GPU Freq (GHz)	CPU Avg Freq (GHz)	CPU Util (norm) (%)	Memory Util (%)	GPU Freq (GHz)	GPU EU Util (%)	GPU VDBox Util (%)	GPU Power Util (W)	Package Power (W)	Result
yolo-v5s	INT8	GPU.0	51.13	624.15	i5-12400 (16G Mem)	82.87	1.55	2.58	79.51	1.45	1.09	92.25	0.0	4.59	11.99	No Error

yolo-v5s OV Benchmark Result Chart

yolo-v8s OV Benchmark Result

Model	Precision	Device	Throughput (fps)	Latency (ms)	Reference Platform	Reference Throughput (fps)	Reference GPU Freq (GHz)	CPU Avg Freq (GHz)	CPU Util (norm) (%)	Memory Util (%)	GPU Freq (GHz)	GPU EU Util (%)	GPU VDBox Util (%)	GPU Power Util (W)	Package Power (W)	Result
yolo-v8s	INT8	GPU.0	29.51	135.44	i5-12400 (16G Mem)	47.7	1.55	2.9	76.11	1.16	1.14	95.47	0.0	4.58	11.93	No Error

yolo-v8s OV Benchmark Result Chart

clip-vit-base-patch16 OV Benchmark Result

Model	Precision	Device	Throughput (fps)	Latency (ms)	Reference Platform	Reference Throughput (fps)	Reference GPU Freq (GHz)	CPU Avg Freq (GHz)	CPU Util (norm) (%)	Memory Util (%)	GPU Freq (GHz)	GPU EU Util (%)	GPU VDBox Util (%)	GPU Power Util (W)	Package Power (W)	Result
clip-vit-base-patch16	INT8	GPU.0	5.08	785.30	i5-12400 (16G Mem)	0	0	2.41	74.05	1.92	1.08	90.6	0.0	4.77	11.92	No Error

clip-vit-base-patch16 OV Benchmark Result Chart

Memory Benchmark Test Result

This test runs a memory benchmark based on STREAM to ensure sufficient memory bandwidth for media processing.

memory_benchmark_runner_test	Function	Best Rate MB/s	Avg time	Min time	Max time	Result
Memory_Benchmark_Test	Copy	28195.5	0.070258	0.068096	0.080339	No Error
Memory_Benchmark_Test	Scale	18946.3	0.102181	0.101339	0.105223	No Error
Memory_Benchmark_Test	Add	20744.5	0.140229	0.138832	0.142049	No Error
Memory_Benchmark_Test	Triad	20776.7	0.141354	0.138617	0.145727	No Error

Media Performance Test Result

Media Encode and Decode Performance tests.

Media Performance Benchmark	Device Used	Codec	Bitrate	Resolution	Number of Monitors	Max Channels	Reference Platform	Reference Value	AVG CPU Freq(MHz)	AVG CPU Util(%)	AVG Memory Util(%)	AVG GPU Freq(MHz)	AVG GPU EU(RCS) Util(%)	AVG GPU VDBox(VCS) Util(%)	Avg SoC Power (W)	AVG GPU power(W)	Duration(s)	Result
Media Encode Benchmark	iGPU	h264	4Mbps	1080p@30	N/A	7	i5-12400 (16G Mem)	10	2885.42	29.34	0.60	994.93	0.38	96.08	8.71	1.21	412.61	No Error
Media Encode Benchmark	iGPU	h264	16Mbps	4K@30	N/A	1	i5-12400 (16G Mem)	2	2838.11	5.61	0.20	996.35	10.40	85.54	7.51	1.31	200.21	No Error
Media Encode Benchmark	iGPU	h265	2Mbps	1080p@30	N/A	10	i5-12400 (16G Mem)	14	2869.44	47.09	1.90	981.46	0.37	89.48	9.66	1.52	427.04	No Error
Media Encode Benchmark	iGPU	h265	8Mbps	4K@30	N/A	2	i5-12400 (16G Mem)	3	2858.11	10.64	1.20	989.69	14.03	11.73	8.94	1.63	254.33	No Error

Media Performance Test Result

Media Encode and Decode Performance tests.

Media Performance Test Result

Media Encode and Decode Performance tests.

Media Performance Benchmark	Device Used	Input Codec	Input Bitrate	Input Resolution	Number of Monitors	Max Channels	Reference Platform	Reference Value	AVG CPU Freq(MHz)	AVG CPU Util(%)	AVG Memory Util(%)	AVG GPU Freq(MHz)	AVG GPU EU(RCS) Util(%)	AVG GPU VDBox(VCS) Util(%)	Avg SoC Power (W)	AVG GPU power(W)	Duration(s)	Result
Media Decode Benchmark	iGPU	h264	4Mbps	1080p@30	N/A	34	i5-12400 (16G Mem)	43	2787.52	46.97	0.40	1000.03	0.37	0.00	8.77	0.93	582.96	No Error
Media Decode Benchmark	iGPU	h264	16Mbps	4K@30	N/A	8	i5-12400 (16G Mem)	10	2807.25	8.44	0.20	999.71	0.38	0.00	7.25	0.92	307.43	No Error
Media Decode Benchmark	iGPU	h265	2Mbps	1080p@30	N/A	42	i5-12400 (16G Mem)	55	2780.87	56.95	0.50	1000.08	0.38	0.00	9.39	1.06	594.22	No Error
Media Decode Benchmark	iGPU	h265	8Mbps	4K@30	N/A	10	i5-12400 (16G Mem)	14	2899.63	10.47	0.20	983.52	0.40	0.00	7.70	1.04	416.69	No Error
Media Decode + 4*4 Compose Benchmark to 1080p@30FPS	iGPU	h264	4Mbps	1080p@30	1	9	i5-12400 (16G Mem)	10	2720.99	223.35	0.79	744.62	24.69	0.00	12.04	1.12	404.97	No Error
Media Decode + 4*4 Compose Benchmark to 4K@30FPS	iGPU	h264	16Mbps	4K@30	1	2	i5-12400 (16G Mem)	9	2869.81	161.05	0.39	578.82	14.09	0.00	11.81	0.88	441.77	No Error
Media Decode + 4*4 Compose Benchmark to 1080p@30FPS	iGPU	h265	2Mbps	1080p@30	1	9	i5-12400 (16G Mem)	16	2618.18	224.35	0.80	741.73	9.01	0.00	12.01	1.21	477.29	No Error
Media Decode + 4*4 Compose Benchmark to 4K@30FPS	iGPU	h265	8Mbps	4K@30	1	1	i5-12400 (16G Mem)	8	2929.49	90.07	0.20	283.77	0.00	0.00	11.64	0.59	451.63	No Error

Media Performance Test Result

Media Encode and Decode Performance tests.

Details of Media Performance Test

media_performance_benchmark.tar.gz

GPU Freq Performance Test Result

This test uses the OpenVINO benchmark app to exercise the GPU for an extended period and while tracking its frequency.

Smart NVR Proxy Pipeline Benchmark Test Introduction

Benchmark Specification: Input: 1080p@30 H.264 4Mbps (video with 10 objects); Storage: 1080p@30 H.264 4Mbps; Output: VideoWall, 4K@30 H264 16Mbps; Benchmark metric: Number of video channels with inference.

Smart NVR Proxy Pipeline Benchmark Test Result

Benchmark Specification: Input: 1080p@30 H.264 4Mbps (video with 10 objects); Storage: 1080p@30 H.264 4Mbps; Output: VideoWall, 4K@30 H264 16Mbps; Benchmark metric: Number of video channels with inference.

Pipeline_Test	Device Used	Input Codec	Input Resolution	Input Channels	Model	Compose	Number of Monitors	AI Channels	Reference Platform	Reference Value	AVG CPU Freq(MHz)	AVG CPU Util(%)	AVG Memory Util(%)	AVG GPU Freq(MHz)	AVG GPU EU(RCS) Util(%)	AVG GPU VDBox(VCS) Util(%)	AVG package power(W)	AVG GPU power(W)	Duration(s)	Result
Smart NVR Pipeline	iGPU	H264 (4Mbps)	1080p@20	16	yolov5s-416	4x4	1	7	i5-12400 (16G Mem)	10	2125.24	290.05	2.05	883.15	0.00	0.00	11.54	3.60	774.24	No Error

Smart NVR Proxy Pipeline Benchmark Test Result

Benchmark Specification: Input: 1080p@30 H.264 4Mbps (video with 10 objects); Storage: 1080p@30 H.264 4Mbps; Output: VideoWall, 4K@30 H264 16Mbps; Benchmark metric: Number of video channels with inference.

Headed Visual AI Proxy Pipeline Benchmark Test Introduction

Benchmark Specification: Input: 1080p@30 H.264 4Mbps (video with 10 objects); Output: VideoWall, 4K@30 H264 16Mbps; Benchmark metric: Number of video channels.

Headed Visual AI Proxy Pipeline Benchmark Test Result

Benchmark Specification: Input: 1080p@30 H.264 4Mbps (video with 10 objects); Output: VideoWall, 4K@30 H264 16Mbps; Benchmark metric: Number of video channels.

Pipeline_Test	Device Used	Input Codec	Input Resolution	Input Channels	Model	Compose	Number of Monitors	AI Channels	Reference Platform	Reference Value	AVG CPU Freq(MHz)	AVG CPU Util(%)	AVG Memory Util(%)	AVG GPU Freq(MHz)	AVG GPU EU(RCS) Util(%)	AVG GPU VDBox(VCS) Util(%)	AVG package power(W)	AVG GPU power(W)	Duration(s)	Result
Headed Visual AI Pipeline	iGPU	H264 (4Mbps)	1080p@30	7	yolov5s-416	3x3	1	7	i5-12400 (16G Mem)	9	2104.80	288.19	1.76	890.38	0.00	0.00	11.56	3.55	580.35	No Error

Headed Visual AI Proxy Pipeline Benchmark Test Result

Benchmark Specification: Input: 1080p@30 H.264 4Mbps (video with 10 objects); Output: VideoWall, 4K@30 H264 16Mbps; Benchmark metric: Number of video channels.

Details of Headed Visual AI Proxy Pipeline Benchmark Test

headed_visual_ai_proxy_pipeline_runner.tar.gz

VSaaS Gateway with Storage Proxy Pipeline Benchmark Test Introduction

Benchmark Specification: Input: 1080p@30 H.264 4Mbps (video with 10 objects); Storage: 1080p@30 H.265 2Mbps; Output: 1080p@30 H.265 2Mbps; Benchmark metric: Number of video channels.

VSaaS Gateway with Storage Proxy Pipeline Benchmark Test Result

Benchmark Specification: Input: 1080p@30 H.264 4Mbps (video with 10 objects); Storage: 1080p@30 H.265 2Mbps; Output: 1080p@30 H.265 2Mbps; Benchmark metric: Number of video channels.

Pipeline_Test	Device Used	Input Codec	Input Resolution	Input Channels	Model	Compose	Number of Monitors	AI Channels	Reference Platform	Reference Value	AVG CPU Freq(MHz)	AVG CPU Util(%)	AVG Memory Util(%)	AVG GPU Freq(MHz)	AVG GPU EU(RCS) Util(%)	AVG GPU VDBox(VCS) Util(%)	AVG package power(W)	AVG GPU power(W)	Duration(s)	Result
AI VSaaS Gateway Pipeline	iGPU	H264 (4Mbps)	1080p@30	8	yolov5s-416	N/A	N/A	8	i5-12400 (16G Mem)	10	2007.24	225.57	1.89	986.09	0.00	0.00	11.85	4.93	488.78	No Error
AI VSaaS Gateway Pipeline	iGPU	H264 (4Mbps)	1080p@30	3	yolov5m-416	N/A	N/A	3	i5-12400 (16G Mem)	4	2124.22	213.53	1.20	1132.11	0.00	0.00	12.03	5.43	443.94	No Error

VSaaS Gateway with Storage Proxy Pipeline Benchmark Test Result

Benchmark Specification: Input: 1080p@30 H.264 4Mbps (video with 10 objects); Storage: 1080p@30 H.265 2Mbps; Output: 1080p@30 H.265 2Mbps; Benchmark metric: Number of video channels.

Details of VSaaS Gateway with Storage Proxy Pipeline Benchmark Test

ai_vsaas_proxy_pipeline_runner.tar.gz

License Plate Recognition(LPR) AI Proxy Pipeline Benchmark Introduction

License Plate Recognition(LPR) Pipeline Benchmark

License Plate Recognition(LPR) AI Proxy Pipeline Benchmark Result

License Plate Recognition(LPR) Pipeline Benchmark

Pipeline Test	Model	Mode	Devices Used	AI Channels	Avg FPS	Reference Platform	Reference Value	AVG CPU Freq(MHz)	AVG CPU Util(%)	AVG Memory Util(%)	AVG GPU Freq(MHz)	AVG GPU EU(RCS) Util(%)	AVG GPU VDBox(VCS) Util(%)	AVG package power(W)	AVG GPU power(W)	Duration(s)	Result
LPR Pipeline	yolov8_license_plate_detector+ch_PP-OCRv4_rec_infer	Mode 2	iGPU(Dec)/iGPU(Det)/iGPU(Cls)	4	33.45	i5-12400 (16G Mem)	7	2060.35	322.45	1.82	863.63	0.00	0.00	11.52	4.11	291.36	No Error

License Plate Recognition(LPR) AI Proxy Pipeline Benchmark Result

License Plate Recognition(LPR) Pipeline Benchmark

Details of License Plate Recognition(LPR) AI Proxy Pipeline Benchmark

lpr_proxy_pipeline_runner.tar.gz