| Upload Date | January 04 2026 12:55 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2070 Super |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G712LWS_G712LWS |
| Motherboard | ASUSTeK COMPUTER INC. G712LWS |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4491
835.3 IPS |
|
|
Image Classification (HP)
|
100% |
6991
1.30 KIPS |
|
|
Image Classification (Q)
|
99% |
3623
675.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7798
126.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10219
165.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6660
108.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
57723
67.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
167128
195.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
50109
58.7 IPS |
|
|
Object Detection (SP)
|
100% |
5690
451.3 IPS |
|
|
Object Detection (HP)
|
100% |
9470
751.1 IPS |
|
|
Object Detection (Q)
|
84% |
4420
356.5 IPS |
|
|
Face Detection (SP)
|
100% |
14591
173.4 IPS |
|
|
Face Detection (HP)
|
100% |
21510
255.6 IPS |
|
|
Face Detection (Q)
|
97% |
11582
138.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
30109
232.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
50417
388.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
20724
166.0 IPS |
|
|
Style Transfer (SP)
|
100% |
97272
125.0 IPS |
|
|
Style Transfer (HP)
|
100% |
233020
299.6 IPS |
|
|
Style Transfer (Q)
|
98% |
83729
108.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18777
693.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28575
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
11827
437.9 IPS |
|
|
Text Classification (SP)
|
100% |
1945
2.60 KIPS |
|
|
Text Classification (HP)
|
99% |
2828
3.77 KIPS |
|
|
Text Classification (Q)
|
97% |
858
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2336
40.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2345
40.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1065
20.0 IPS |