| User | OrderlyMisconduct |
| Upload Date | August 21 2025 11:38 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B660M-A D4 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12600K |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13562
2.52 KIPS |
|
|
Image Classification (HP)
|
99% |
19075
3.56 KIPS |
|
|
Image Classification (Q)
|
100% |
11785
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22367
362.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
28934
469.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
20226
328.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
201221
234.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
504373
588.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
180054
211.0 IPS |
|
|
Object Detection (SP)
|
100% |
16116
1.28 KIPS |
|
|
Object Detection (HP)
|
100% |
22938
1.82 KIPS |
|
|
Object Detection (Q)
|
85% |
13604
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
45393
539.4 IPS |
|
|
Face Detection (HP)
|
100% |
59119
702.5 IPS |
|
|
Face Detection (Q)
|
97% |
39247
468.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
87160
671.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
145842
1.13 KIPS |
|
|
Depth Estimation (Q)
|
77% |
65973
527.4 IPS |
|
|
Style Transfer (SP)
|
100% |
363141
466.8 IPS |
|
|
Style Transfer (HP)
|
100% |
840436
1.08 KIPS |
|
|
Style Transfer (Q)
|
98% |
321553
414.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52682
1.95 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66838
2.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38497
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
3942
5.26 KIPS |
|
|
Text Classification (HP)
|
99% |
4811
6.42 KIPS |
|
|
Text Classification (Q)
|
97% |
2306
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
5867
101.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5811
100.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2824
53.0 IPS |