User | LinFengJun |
Upload Date | August 19 2024 01:25 AM |
Views | 2 |
System Information | |
---|---|
Operating System | Microsoft Windows 10 (64-bit) |
Model | HP HP Notebook - 14s-cr2003tx |
Motherboard | HP 8659 |
CPU Information | |
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Name | Intel Core i5-10210U |
Topology | 1 Processor, 4 Cores, 8 Threads |
Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
Base Frequency | 2.11 GHz |
Cluster 1 | 4 Cores |
L1 Instruction Cache | 32.0 KB x 4 |
L1 Data Cache | 32.0 KB x 4 |
L2 Cache | 256 KB x 4 |
L3 Cache | 6.00 MB x 1 |
Memory Information | |
---|---|
Size | 8.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | Intel(R) UHD Graphics |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
362
67.7 IPS |
|
Image Classification (F16)
|
100% |
359
67.2 IPS |
|
Image Classification (I8)
|
100% |
324
60.7 IPS |
|
Image Segmentation (F32)
|
100% |
486
8.12 IPS |
|
Image Segmentation (F16)
|
100% |
491
8.20 IPS |
|
Image Segmentation (I8)
|
98% |
396
6.62 IPS |
|
Pose Estimation (F32)
|
100% |
2106
2.55 IPS |
|
Pose Estimation (F16)
|
100% |
2124
2.57 IPS |
|
Pose Estimation (I8)
|
100% |
1885
2.28 IPS |
|
Object Detection (F32)
|
100% |
412
30.8 IPS |
|
Object Detection (F16)
|
100% |
414
30.9 IPS |
|
Object Detection (I8)
|
54% |
362
27.0 IPS |
|
Face Detection (F32)
|
100% |
635
7.56 IPS |
|
Face Detection (F16)
|
100% |
638
7.58 IPS |
|
Face Detection (I8)
|
89% |
506
6.01 IPS |
|
Depth Estimation (F32)
|
100% |
1558
12.1 IPS |
|
Depth Estimation (F16)
|
100% |
1531
11.9 IPS |
|
Depth Estimation (I8)
|
95% |
1335
10.4 IPS |
|
Style Transfer (F32)
|
100% |
5337
7.02 IPS |
|
Style Transfer (F16)
|
100% |
5406
7.11 IPS |
|
Style Transfer (I8)
|
98% |
4374
5.75 IPS |
|
Image Super-Resolution (F32)
|
100% |
1115
39.8 IPS |
|
Image Super-Resolution (F16)
|
100% |
1075
38.4 IPS |
|
Image Super-Resolution (I8)
|
99% |
787
28.1 IPS |
|
Text Classification (F32)
|
100% |
403
578.9 IPS |
|
Text Classification (F16)
|
100% |
394
566.1 IPS |
|
Text Classification (I8)
|
98% |
250
358.9 IPS |
|
Machine Translation (F32)
|
100% |
394
7.25 IPS |
|
Machine Translation (F16)
|
100% |
390
7.18 IPS |
|
Machine Translation (I8)
|
70% |
255
4.70 IPS |