| User | kwantumcrash |
| Upload Date | February 28 2026 04:41 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Precision 5820 Tower X-Series |
| Motherboard | Dell Inc. 0XNJ2Y |
| Power Plan | UR Win10 Desktop |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10980XE |
| Topology | 1 Processor, 18 Cores, 36 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 18 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3374
627.5 IPS |
|
|
Image Classification (HP)
|
99% |
5285
985.8 IPS |
|
|
Image Classification (Q)
|
99% |
2712
505.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5126
83.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7103
115.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4338
70.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
46960
54.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
124858
145.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
38488
45.1 IPS |
|
|
Object Detection (SP)
|
100% |
4164
330.3 IPS |
|
|
Object Detection (HP)
|
100% |
6401
507.7 IPS |
|
|
Object Detection (Q)
|
84% |
3305
266.5 IPS |
|
|
Face Detection (SP)
|
100% |
8980
106.7 IPS |
|
|
Face Detection (HP)
|
100% |
13250
157.4 IPS |
|
|
Face Detection (Q)
|
97% |
7420
88.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
22076
170.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
38986
301.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
15485
124.2 IPS |
|
|
Style Transfer (SP)
|
100% |
78294
100.6 IPS |
|
|
Style Transfer (HP)
|
100% |
174428
224.2 IPS |
|
|
Style Transfer (Q)
|
98% |
61965
79.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12860
474.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19868
733.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7930
293.7 IPS |
|
|
Text Classification (SP)
|
100% |
1711
2.28 KIPS |
|
|
Text Classification (HP)
|
99% |
2079
2.77 KIPS |
|
|
Text Classification (Q)
|
97% |
659
882.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1847
31.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1854
31.9 IPS |
|
|
Machine Translation (Q)
|
70% |
934
17.5 IPS |