| User | edsvo |
| Upload Date | September 28 2025 05:31 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro M1200 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | Dell Inc. Precision 5520 |
| Motherboard | Dell Inc. 0R6JFH |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7820HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
803
149.4 IPS |
|
|
Image Classification (HP)
|
100% |
787
146.4 IPS |
|
|
Image Classification (Q)
|
99% |
686
128.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1207
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1173
19.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
956
15.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6274
7.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
6119
7.14 IPS |
|
|
Pose Estimation (Q)
|
96% |
5686
6.66 IPS |
|
|
Object Detection (SP)
|
100% |
1042
82.7 IPS |
|
|
Object Detection (HP)
|
100% |
1035
82.1 IPS |
|
|
Object Detection (Q)
|
83% |
871
70.3 IPS |
|
|
Face Detection (SP)
|
100% |
1847
21.9 IPS |
|
|
Face Detection (HP)
|
100% |
1868
22.2 IPS |
|
|
Face Detection (Q)
|
97% |
1513
18.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3890
30.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3845
29.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
3183
25.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10817
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10858
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
9659
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3102
114.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2964
109.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2245
83.1 IPS |
|
|
Text Classification (SP)
|
100% |
807
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
891
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
389
521.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1625
28.0 IPS |
|
|
Machine Translation (HP)
|
96% |
1538
26.6 IPS |
|
|
Machine Translation (Q)
|
70% |
605
11.3 IPS |