| Upload Date | November 12 2025 02:59 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise LTSC (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-1680 v4 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4864
904.5 IPS |
|
|
Image Classification (HP)
|
100% |
7497
1.39 KIPS |
|
|
Image Classification (Q)
|
99% |
3713
692.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
9315
151.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12793
207.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7667
124.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
61666
72.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
199051
232.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
52894
62.0 IPS |
|
|
Object Detection (SP)
|
100% |
6098
483.7 IPS |
|
|
Object Detection (HP)
|
100% |
9402
745.8 IPS |
|
|
Object Detection (Q)
|
84% |
4820
388.7 IPS |
|
|
Face Detection (SP)
|
100% |
15705
186.6 IPS |
|
|
Face Detection (HP)
|
100% |
23401
278.1 IPS |
|
|
Face Detection (Q)
|
97% |
13055
155.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
32528
250.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
58032
447.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
22824
182.6 IPS |
|
|
Style Transfer (SP)
|
100% |
112442
144.5 IPS |
|
|
Style Transfer (HP)
|
100% |
254219
326.8 IPS |
|
|
Style Transfer (Q)
|
98% |
92832
119.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17842
658.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27239
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
11260
417.0 IPS |
|
|
Text Classification (SP)
|
100% |
1657
2.21 KIPS |
|
|
Text Classification (HP)
|
99% |
2414
3.22 KIPS |
|
|
Text Classification (Q)
|
97% |
999
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3210
55.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3218
55.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1378
25.8 IPS |