| User | klcs1998 |
| Upload Date | October 29 2025 05:46 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro P620 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | Generic |
| Motherboard | ASRock X99X Killer |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2650 v4 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
438
81.5 IPS |
|
|
Image Classification (HP)
|
100% |
832
154.7 IPS |
|
|
Image Classification (Q)
|
99% |
409
76.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1388
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1160
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1112
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11898
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
6485
7.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
9758
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
623
49.4 IPS |
|
|
Object Detection (HP)
|
100% |
1042
82.6 IPS |
|
|
Object Detection (Q)
|
83% |
564
45.6 IPS |
|
|
Face Detection (SP)
|
100% |
1248
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
1857
22.1 IPS |
|
|
Face Detection (Q)
|
97% |
1104
13.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4183
32.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3769
29.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
3393
27.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19580
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11764
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
15604
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4210
155.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3077
113.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2689
99.6 IPS |
|
|
Text Classification (SP)
|
100% |
697
930.2 IPS |
|
|
Text Classification (HP)
|
100% |
749
999.5 IPS |
|
|
Text Classification (Q)
|
97% |
442
592.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1667
28.7 IPS |
|
|
Machine Translation (HP)
|
96% |
1586
27.4 IPS |
|
|
Machine Translation (Q)
|
70% |
695
13.0 IPS |