| Upload Date | November 10 2025 01:42 PM |
| 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% |
2046
380.5 IPS |
|
|
Image Classification (HP)
|
100% |
2832
526.6 IPS |
|
|
Image Classification (Q)
|
100% |
1795
333.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4040
65.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3837
62.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3400
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
63169
73.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
35938
41.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
50848
59.6 IPS |
|
|
Object Detection (SP)
|
100% |
2688
213.2 IPS |
|
|
Object Detection (HP)
|
100% |
3804
301.7 IPS |
|
|
Object Detection (Q)
|
84% |
2359
190.2 IPS |
|
|
Face Detection (SP)
|
100% |
5547
65.9 IPS |
|
|
Face Detection (HP)
|
100% |
7566
89.9 IPS |
|
|
Face Detection (Q)
|
97% |
4733
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
19361
149.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
17040
131.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
14823
118.7 IPS |
|
|
Style Transfer (SP)
|
100% |
99601
128.0 IPS |
|
|
Style Transfer (HP)
|
100% |
58060
74.6 IPS |
|
|
Style Transfer (Q)
|
98% |
76461
98.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15192
561.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12432
459.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9949
368.4 IPS |
|
|
Text Classification (SP)
|
100% |
1018
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
1282
1.71 KIPS |
|
|
Text Classification (Q)
|
97% |
717
960.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1507
26.0 IPS |
|
|
Machine Translation (HP)
|
96% |
1497
25.9 IPS |
|
|
Machine Translation (Q)
|
70% |
943
17.7 IPS |