| Upload Date | March 21 2025 09:27 PM |
| Views | 16 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MSI MS-7693 |
| Motherboard | MSI 970 GAMING (MS-7693) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD FX-8320E |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 21 Model 2 Stepping 0 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1852
344.3 IPS |
|
|
Image Classification (HP)
|
100% |
2765
514.2 IPS |
|
|
Image Classification (Q)
|
100% |
1661
308.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3734
60.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3622
58.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3253
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
55508
64.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
30252
35.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
43726
51.2 IPS |
|
|
Object Detection (SP)
|
100% |
2425
192.4 IPS |
|
|
Object Detection (HP)
|
100% |
3592
284.9 IPS |
|
|
Object Detection (Q)
|
84% |
2165
174.7 IPS |
|
|
Face Detection (SP)
|
100% |
4932
58.6 IPS |
|
|
Face Detection (HP)
|
100% |
7074
84.1 IPS |
|
|
Face Detection (Q)
|
97% |
4339
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16667
128.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15713
121.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
12902
103.5 IPS |
|
|
Style Transfer (SP)
|
100% |
86714
111.5 IPS |
|
|
Style Transfer (HP)
|
100% |
51691
66.4 IPS |
|
|
Style Transfer (Q)
|
98% |
67206
86.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13607
502.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11085
409.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8987
332.8 IPS |
|
|
Text Classification (SP)
|
100% |
1446
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
1767
2.36 KIPS |
|
|
Text Classification (Q)
|
97% |
757
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1599
27.5 IPS |
|
|
Machine Translation (HP)
|
96% |
1576
27.3 IPS |
|
|
Machine Translation (Q)
|
70% |
962
18.1 IPS |