| Upload Date | June 22 2025 09:46 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-920 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK Computer INC. Rampage III Extreme |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-920 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 26 Stepping 5 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
453
84.3 IPS |
|
|
Image Classification (HP)
|
100% |
197
36.7 IPS |
|
|
Image Classification (Q)
|
96% |
717
134.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
426
6.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
282
4.57 IPS |
|
|
Image Segmentation (Q)
|
97% |
604
9.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
842
0.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
798
0.93 IPS |
|
|
Pose Estimation (Q)
|
86% |
1409
1.67 IPS |
|
|
Object Detection (SP)
|
100% |
442
35.1 IPS |
|
|
Object Detection (HP)
|
100% |
235
18.6 IPS |
|
|
Object Detection (Q)
|
58% |
512
56.0 IPS |
|
|
Face Detection (SP)
|
100% |
1328
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
605
7.19 IPS |
|
|
Face Detection (Q)
|
96% |
1690
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1168
9.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
676
5.21 IPS |
|
|
Depth Estimation (Q)
|
78% |
1614
12.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2229
2.87 IPS |
|
|
Style Transfer (HP)
|
100% |
2202
2.83 IPS |
|
|
Style Transfer (Q)
|
87% |
3135
4.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
485
17.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
466
17.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
699
25.9 IPS |
|
|
Text Classification (SP)
|
100% |
482
643.5 IPS |
|
|
Text Classification (HP)
|
100% |
269
359.2 IPS |
|
|
Text Classification (Q)
|
97% |
313
419.9 IPS |
|
|
Machine Translation (SP)
|
100% |
750
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
314
5.40 IPS |
|
|
Machine Translation (Q)
|
68% |
920
17.8 IPS |