| User | lakeconstance78 |
| Upload Date | March 12 2026 09:37 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MACHINIST X99 PR9 |
| Motherboard | MACHINIST X99 PR9 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2697A v4 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4794
891.6 IPS |
|
|
Image Classification (HP)
|
100% |
7792
1.45 KIPS |
|
|
Image Classification (Q)
|
99% |
3875
722.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
9172
148.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12790
207.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
7488
121.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
60295
70.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
200171
233.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
52028
61.0 IPS |
|
|
Object Detection (SP)
|
100% |
5960
472.8 IPS |
|
|
Object Detection (HP)
|
100% |
9651
765.5 IPS |
|
|
Object Detection (Q)
|
84% |
4823
389.0 IPS |
|
|
Face Detection (SP)
|
100% |
15193
180.5 IPS |
|
|
Face Detection (HP)
|
100% |
22061
262.1 IPS |
|
|
Face Detection (Q)
|
97% |
12386
147.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
33026
254.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
58783
452.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
23204
185.7 IPS |
|
|
Style Transfer (SP)
|
100% |
108126
139.0 IPS |
|
|
Style Transfer (HP)
|
100% |
248097
318.9 IPS |
|
|
Style Transfer (Q)
|
98% |
90218
116.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18086
667.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27867
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
11628
430.6 IPS |
|
|
Text Classification (SP)
|
100% |
1599
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
2185
2.92 KIPS |
|
|
Text Classification (Q)
|
97% |
970
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3110
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3086
53.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1350
25.3 IPS |