| User | Hais |
| Upload Date | April 11 2025 04:48 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Wortmann_AG FR1001250;2110029 |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B250M-A |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2522
469.0 IPS |
|
|
Image Classification (HP)
|
100% |
3763
699.8 IPS |
|
|
Image Classification (Q)
|
99% |
2234
416.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5788
93.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5727
92.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4766
77.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
71568
83.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
39106
45.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
55522
65.1 IPS |
|
|
Object Detection (SP)
|
100% |
3303
262.0 IPS |
|
|
Object Detection (HP)
|
100% |
4928
390.9 IPS |
|
|
Object Detection (Q)
|
84% |
2805
226.3 IPS |
|
|
Face Detection (SP)
|
100% |
6648
79.0 IPS |
|
|
Face Detection (HP)
|
100% |
9869
117.3 IPS |
|
|
Face Detection (Q)
|
97% |
5679
67.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
22321
172.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
19253
148.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
16366
130.8 IPS |
|
|
Style Transfer (SP)
|
100% |
116677
150.0 IPS |
|
|
Style Transfer (HP)
|
100% |
64581
83.0 IPS |
|
|
Style Transfer (Q)
|
98% |
86017
110.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19502
720.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14861
548.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11371
421.0 IPS |
|
|
Text Classification (SP)
|
100% |
1711
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2226
2.97 KIPS |
|
|
Text Classification (Q)
|
97% |
1042
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2710
46.7 IPS |
|
|
Machine Translation (HP)
|
96% |
2610
45.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1413
26.5 IPS |