| User | W4RHE4D |
| Upload Date | March 22 2026 07:38 AM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-975 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK Computer INC. Rampage III Extreme |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-975 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 26 Stepping 5 |
| Base Frequency | 4.61 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
403
74.9 IPS |
|
|
Image Classification (HP)
|
100% |
187
34.8 IPS |
|
|
Image Classification (Q)
|
96% |
658
122.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
348
5.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
253
4.10 IPS |
|
|
Image Segmentation (Q)
|
97% |
701
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
731
0.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
715
0.83 IPS |
|
|
Pose Estimation (Q)
|
86% |
1238
1.46 IPS |
|
|
Object Detection (SP)
|
100% |
377
29.9 IPS |
|
|
Object Detection (HP)
|
100% |
222
17.6 IPS |
|
|
Object Detection (Q)
|
58% |
430
47.0 IPS |
|
|
Face Detection (SP)
|
100% |
1053
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
508
6.03 IPS |
|
|
Face Detection (Q)
|
96% |
1388
16.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1018
7.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
616
4.74 IPS |
|
|
Depth Estimation (Q)
|
78% |
1394
11.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1969
2.53 IPS |
|
|
Style Transfer (HP)
|
100% |
1990
2.56 IPS |
|
|
Style Transfer (Q)
|
87% |
2546
3.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
416
15.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
410
15.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
747
27.7 IPS |
|
|
Text Classification (SP)
|
100% |
489
653.3 IPS |
|
|
Text Classification (HP)
|
100% |
274
366.3 IPS |
|
|
Text Classification (Q)
|
97% |
297
397.4 IPS |
|
|
Machine Translation (SP)
|
100% |
585
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
302
5.20 IPS |
|
|
Machine Translation (Q)
|
68% |
804
15.5 IPS |