| User | W4RH34D |
| Upload Date | December 03 2025 08:15 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5649 |
| 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 Xeon E5649 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 44 Stepping 2 |
| Base Frequency | 4.19 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
590
109.8 IPS |
|
|
Image Classification (HP)
|
100% |
217
40.4 IPS |
|
|
Image Classification (Q)
|
96% |
801
149.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
484
7.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
300
4.87 IPS |
|
|
Image Segmentation (Q)
|
97% |
999
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1156
1.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1092
1.27 IPS |
|
|
Pose Estimation (Q)
|
86% |
1775
2.10 IPS |
|
|
Object Detection (SP)
|
100% |
575
45.6 IPS |
|
|
Object Detection (HP)
|
100% |
267
21.2 IPS |
|
|
Object Detection (Q)
|
58% |
631
68.9 IPS |
|
|
Face Detection (SP)
|
100% |
1228
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
575
6.83 IPS |
|
|
Face Detection (Q)
|
96% |
1575
18.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1582
12.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
777
5.99 IPS |
|
|
Depth Estimation (Q)
|
78% |
1837
14.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2940
3.78 IPS |
|
|
Style Transfer (HP)
|
100% |
2993
3.85 IPS |
|
|
Style Transfer (Q)
|
87% |
3218
4.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
596
22.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
600
22.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
975
36.1 IPS |
|
|
Text Classification (SP)
|
100% |
596
795.1 IPS |
|
|
Text Classification (HP)
|
100% |
303
404.4 IPS |
|
|
Text Classification (Q)
|
97% |
317
425.3 IPS |
|
|
Machine Translation (SP)
|
100% |
694
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
330
5.69 IPS |
|
|
Machine Translation (Q)
|
68% |
927
17.9 IPS |