| User | Dementor048 |
| Upload Date | March 31 2025 08:18 PM |
| Views | 16 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro Insider Preview (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z890-F GAMING WIFI |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11229
2.09 KIPS |
|
|
Image Classification (HP)
|
99% |
16565
3.09 KIPS |
|
|
Image Classification (Q)
|
100% |
10142
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23031
373.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
29637
480.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
21250
345.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
260967
304.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
459006
535.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
226895
265.8 IPS |
|
|
Object Detection (SP)
|
100% |
15108
1.20 KIPS |
|
|
Object Detection (HP)
|
100% |
20774
1.65 KIPS |
|
|
Object Detection (Q)
|
85% |
13056
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
44304
526.4 IPS |
|
|
Face Detection (HP)
|
100% |
59220
703.7 IPS |
|
|
Face Detection (Q)
|
97% |
37902
451.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
78001
601.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
142668
1.10 KIPS |
|
|
Depth Estimation (Q)
|
78% |
60562
483.6 IPS |
|
|
Style Transfer (SP)
|
100% |
376944
484.6 IPS |
|
|
Style Transfer (HP)
|
100% |
809771
1.04 KIPS |
|
|
Style Transfer (Q)
|
98% |
335025
432.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48764
1.80 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
68125
2.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37225
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
3059
4.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3764
5.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1854
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
5098
87.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4858
83.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2036
38.2 IPS |