| User | fenom |
| Upload Date | December 17 2025 08:44 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Z170-E |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 4.01 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2483
461.8 IPS |
|
|
Image Classification (HP)
|
100% |
3882
722.0 IPS |
|
|
Image Classification (Q)
|
99% |
2168
404.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6316
102.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6141
99.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5085
82.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
74492
86.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
41049
47.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
57443
67.3 IPS |
|
|
Object Detection (SP)
|
100% |
3310
262.5 IPS |
|
|
Object Detection (HP)
|
100% |
4949
392.6 IPS |
|
|
Object Detection (Q)
|
84% |
2824
227.8 IPS |
|
|
Face Detection (SP)
|
100% |
6939
82.4 IPS |
|
|
Face Detection (HP)
|
100% |
10458
124.3 IPS |
|
|
Face Detection (Q)
|
97% |
5911
70.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21869
168.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
19124
147.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
16442
131.4 IPS |
|
|
Style Transfer (SP)
|
100% |
115973
149.1 IPS |
|
|
Style Transfer (HP)
|
100% |
64489
82.9 IPS |
|
|
Style Transfer (Q)
|
98% |
86238
111.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18952
699.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14444
533.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11381
421.4 IPS |
|
|
Text Classification (SP)
|
100% |
1689
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
2138
2.85 KIPS |
|
|
Text Classification (Q)
|
97% |
1007
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3047
52.5 IPS |
|
|
Machine Translation (HP)
|
96% |
3013
52.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1513
28.4 IPS |