| User | HPM |
| Upload Date | August 27 2025 02:58 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-3570K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. To be filled by O.E.M. |
| Motherboard | Gigabyte Technology Co., Ltd. Z77X-D3H |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i5-3570K |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
718
133.5 IPS |
|
|
Image Classification (HP)
|
100% |
234
43.5 IPS |
|
|
Image Classification (Q)
|
96% |
652
121.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
453
7.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
325
5.27 IPS |
|
|
Image Segmentation (Q)
|
97% |
697
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1435
1.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
1115
1.30 IPS |
|
|
Pose Estimation (Q)
|
86% |
1277
1.51 IPS |
|
|
Object Detection (SP)
|
100% |
669
53.0 IPS |
|
|
Object Detection (HP)
|
100% |
279
22.1 IPS |
|
|
Object Detection (Q)
|
58% |
466
50.9 IPS |
|
|
Face Detection (SP)
|
100% |
1359
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
604
7.17 IPS |
|
|
Face Detection (Q)
|
96% |
1319
15.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1818
14.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
803
6.19 IPS |
|
|
Depth Estimation (Q)
|
78% |
1461
11.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3367
4.33 IPS |
|
|
Style Transfer (HP)
|
100% |
2812
3.61 IPS |
|
|
Style Transfer (Q)
|
87% |
2758
3.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
690
25.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
608
22.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
739
27.4 IPS |
|
|
Text Classification (SP)
|
100% |
665
887.5 IPS |
|
|
Text Classification (HP)
|
100% |
342
456.6 IPS |
|
|
Text Classification (Q)
|
97% |
279
373.5 IPS |
|
|
Machine Translation (SP)
|
100% |
783
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
356
6.13 IPS |
|
|
Machine Translation (Q)
|
68% |
803
15.5 IPS |