| Upload Date | January 12 2026 02:38 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1060 6GB |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS All Series |
| Motherboard | ASUSTeK COMPUTER INC. H87-PRO |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4670K |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 28.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1191
221.4 IPS |
|
|
Image Classification (HP)
|
100% |
2334
434.1 IPS |
|
|
Image Classification (Q)
|
99% |
1188
221.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3677
59.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3357
54.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3046
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
36082
42.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20566
24.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
29524
34.6 IPS |
|
|
Object Detection (SP)
|
100% |
1775
140.8 IPS |
|
|
Object Detection (HP)
|
100% |
2944
233.5 IPS |
|
|
Object Detection (Q)
|
83% |
1609
130.0 IPS |
|
|
Face Detection (SP)
|
100% |
3524
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
5221
62.0 IPS |
|
|
Face Detection (Q)
|
97% |
3262
38.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12190
93.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11060
85.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
9513
75.9 IPS |
|
|
Style Transfer (SP)
|
100% |
61513
79.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37044
47.6 IPS |
|
|
Style Transfer (Q)
|
98% |
46791
60.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11432
422.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8098
299.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7534
279.0 IPS |
|
|
Text Classification (SP)
|
100% |
1454
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
1770
2.36 KIPS |
|
|
Text Classification (Q)
|
97% |
879
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2380
41.0 IPS |
|
|
Machine Translation (HP)
|
96% |
2285
39.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1194
22.4 IPS |