User | LinFengJun |
Upload Date | August 29 2024 03:25 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% |
356
66.6 IPS |
|
Image Classification (F16)
|
100% |
357
66.7 IPS |
|
Image Classification (I8)
|
100% |
326
61.0 IPS |
|
Image Segmentation (F32)
|
100% |
487
8.14 IPS |
|
Image Segmentation (F16)
|
100% |
485
8.11 IPS |
|
Image Segmentation (I8)
|
98% |
399
6.66 IPS |
|
Pose Estimation (F32)
|
100% |
2127
2.58 IPS |
|
Pose Estimation (F16)
|
100% |
2136
2.59 IPS |
|
Pose Estimation (I8)
|
100% |
1897
2.30 IPS |
|
Object Detection (F32)
|
100% |
413
30.9 IPS |
|
Object Detection (F16)
|
100% |
402
30.0 IPS |
|
Object Detection (I8)
|
54% |
365
27.2 IPS |
|
Face Detection (F32)
|
100% |
645
7.67 IPS |
|
Face Detection (F16)
|
100% |
642
7.63 IPS |
|
Face Detection (I8)
|
89% |
498
5.93 IPS |
|
Depth Estimation (F32)
|
100% |
1560
12.1 IPS |
|
Depth Estimation (F16)
|
100% |
1563
12.1 IPS |
|
Depth Estimation (I8)
|
95% |
1310
10.2 IPS |
|
Style Transfer (F32)
|
100% |
5374
7.07 IPS |
|
Style Transfer (F16)
|
100% |
5431
7.14 IPS |
|
Style Transfer (I8)
|
98% |
4398
5.79 IPS |
|
Image Super-Resolution (F32)
|
100% |
1076
38.4 IPS |
|
Image Super-Resolution (F16)
|
100% |
1068
38.1 IPS |
|
Image Super-Resolution (I8)
|
99% |
816
29.2 IPS |
|
Text Classification (F32)
|
100% |
398
572.0 IPS |
|
Text Classification (F16)
|
100% |
402
577.2 IPS |
|
Text Classification (I8)
|
98% |
247
354.7 IPS |
|
Machine Translation (F32)
|
100% |
389
7.17 IPS |
|
Machine Translation (F16)
|
100% |
392
7.22 IPS |
|
Machine Translation (I8)
|
70% |
254
4.67 IPS |