| Upload Date | March 05 2026 09:18 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 2000E Ada Generation |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. Precision Tower 3431 |
| Motherboard | Dell Inc. 01TN68 |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700 |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4536
843.5 IPS |
|
|
Image Classification (HP)
|
100% |
7130
1.33 KIPS |
|
|
Image Classification (Q)
|
99% |
3489
650.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7620
123.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10786
174.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7341
119.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
53467
62.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
170177
198.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
47863
56.1 IPS |
|
|
Object Detection (SP)
|
100% |
5549
440.1 IPS |
|
|
Object Detection (HP)
|
100% |
9166
727.1 IPS |
|
|
Object Detection (Q)
|
84% |
5124
413.3 IPS |
|
|
Face Detection (SP)
|
100% |
14277
169.6 IPS |
|
|
Face Detection (HP)
|
100% |
22066
262.2 IPS |
|
|
Face Detection (Q)
|
97% |
12943
154.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
28857
222.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
51300
396.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
24112
192.9 IPS |
|
|
Style Transfer (SP)
|
100% |
94130
121.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245424
315.5 IPS |
|
|
Style Transfer (Q)
|
98% |
84900
109.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18518
683.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27011
997.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12847
475.7 IPS |
|
|
Text Classification (SP)
|
100% |
2324
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
2788
3.72 KIPS |
|
|
Text Classification (Q)
|
97% |
1146
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2285
39.4 IPS |
|
|
Machine Translation (HP)
|
97% |
2313
40.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1311
24.6 IPS |