| Upload Date | November 13 2025 11:29 AM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | To be filled by O.E.M. To be filled by O.E.M. |
| Motherboard | To be filled by O.E.M. To be filled by O.E.M. |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2620 |
| Topology | 2 Processors, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 45 Stepping 7 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1910
355.2 IPS |
|
|
Image Classification (HP)
|
100% |
2633
489.6 IPS |
|
|
Image Classification (Q)
|
100% |
1704
316.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3075
49.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3288
53.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2682
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
62141
72.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
35361
41.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
49266
57.7 IPS |
|
|
Object Detection (SP)
|
100% |
2552
202.4 IPS |
|
|
Object Detection (HP)
|
100% |
3508
278.3 IPS |
|
|
Object Detection (Q)
|
84% |
2256
182.0 IPS |
|
|
Face Detection (SP)
|
100% |
5112
60.7 IPS |
|
|
Face Detection (HP)
|
100% |
7010
83.3 IPS |
|
|
Face Detection (Q)
|
97% |
4574
54.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18806
144.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
16328
126.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
14407
115.4 IPS |
|
|
Style Transfer (SP)
|
100% |
98960
127.2 IPS |
|
|
Style Transfer (HP)
|
100% |
55830
71.8 IPS |
|
|
Style Transfer (Q)
|
98% |
76433
98.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16869
622.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12337
455.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9807
363.1 IPS |
|
|
Text Classification (SP)
|
100% |
1109
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
1313
1.75 KIPS |
|
|
Text Classification (Q)
|
97% |
720
964.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1278
22.0 IPS |
|
|
Machine Translation (HP)
|
96% |
1191
20.6 IPS |
|
|
Machine Translation (Q)
|
70% |
565
10.6 IPS |