User | LinFengJun |
Upload Date | August 29 2024 03:29 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 | AMD Radeon R7 M440 |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
251
46.9 IPS |
|
Image Classification (F16)
|
100% |
254
47.5 IPS |
|
Image Classification (I8)
|
100% |
219
41.0 IPS |
|
Image Segmentation (F32)
|
100% |
429
7.17 IPS |
|
Image Segmentation (F16)
|
100% |
429
7.17 IPS |
|
Image Segmentation (I8)
|
98% |
364
6.08 IPS |
|
Pose Estimation (F32)
|
100% |
4027
4.88 IPS |
|
Pose Estimation (F16)
|
100% |
4025
4.87 IPS |
|
Pose Estimation (I8)
|
100% |
3424
4.15 IPS |
|
Object Detection (F32)
|
100% |
279
20.8 IPS |
|
Object Detection (F16)
|
100% |
279
20.8 IPS |
|
Object Detection (I8)
|
64% |
251
18.8 IPS |
|
Face Detection (F32)
|
100% |
647
7.69 IPS |
|
Face Detection (F16)
|
100% |
647
7.69 IPS |
|
Face Detection (I8)
|
89% |
538
6.40 IPS |
|
Depth Estimation (F32)
|
100% |
1523
11.8 IPS |
|
Depth Estimation (F16)
|
100% |
1522
11.8 IPS |
|
Depth Estimation (I8)
|
95% |
1284
9.96 IPS |
|
Style Transfer (F32)
|
100% |
6529
8.59 IPS |
|
Style Transfer (F16)
|
100% |
6520
8.58 IPS |
|
Style Transfer (I8)
|
98% |
5513
7.25 IPS |
|
Image Super-Resolution (F32)
|
100% |
1740
62.2 IPS |
|
Image Super-Resolution (F16)
|
100% |
1597
57.0 IPS |
|
Image Super-Resolution (I8)
|
99% |
1058
37.8 IPS |
|
Text Classification (F32)
|
100% |
317
456.0 IPS |
|
Text Classification (F16)
|
100% |
249
357.6 IPS |
|
Text Classification (I8)
|
98% |
174
249.6 IPS |
|
Machine Translation (F32)
|
100% |
528
9.72 IPS |
|
Machine Translation (F16)
|
100% |
528
9.72 IPS |
|
Machine Translation (I8)
|
69% |
303
5.57 IPS |