| User | W4RHE4D |
| Upload Date | February 26 2026 11:36 AM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-950 |
| 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 i7-950 |
| 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 | 6.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
446
82.9 IPS |
|
|
Image Classification (HP)
|
100% |
204
37.9 IPS |
|
|
Image Classification (Q)
|
96% |
700
130.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
399
6.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
272
4.40 IPS |
|
|
Image Segmentation (Q)
|
97% |
753
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
824
0.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
771
0.90 IPS |
|
|
Pose Estimation (Q)
|
86% |
1339
1.58 IPS |
|
|
Object Detection (SP)
|
100% |
426
33.8 IPS |
|
|
Object Detection (HP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (Q)
|
58% |
498
54.4 IPS |
|
|
Face Detection (SP)
|
100% |
1264
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
579
6.88 IPS |
|
|
Face Detection (Q)
|
96% |
1597
19.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1140
8.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
677
5.21 IPS |
|
|
Depth Estimation (Q)
|
78% |
1552
12.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2134
2.74 IPS |
|
|
Style Transfer (HP)
|
100% |
2126
2.73 IPS |
|
|
Style Transfer (Q)
|
87% |
2862
3.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
461
17.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
452
16.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
776
28.7 IPS |
|
|
Text Classification (SP)
|
100% |
507
676.2 IPS |
|
|
Text Classification (HP)
|
100% |
287
383.3 IPS |
|
|
Text Classification (Q)
|
97% |
310
415.0 IPS |
|
|
Machine Translation (SP)
|
100% |
669
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
338
5.82 IPS |
|
|
Machine Translation (Q)
|
68% |
863
16.7 IPS |