| User | ragnarokchan |
| Upload Date | April 13 2025 06:35 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 HERO |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14648
2.72 KIPS |
|
|
Image Classification (HP)
|
100% |
18624
3.46 KIPS |
|
|
Image Classification (Q)
|
100% |
12764
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24544
397.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
28459
461.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
22712
369.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
369388
431.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
795282
928.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
294664
345.2 IPS |
|
|
Object Detection (SP)
|
100% |
19975
1.58 KIPS |
|
|
Object Detection (HP)
|
100% |
24446
1.94 KIPS |
|
|
Object Detection (Q)
|
85% |
16839
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
52728
626.5 IPS |
|
|
Face Detection (HP)
|
100% |
64839
770.4 IPS |
|
|
Face Detection (Q)
|
97% |
44710
533.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
102702
791.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
174070
1.34 KIPS |
|
|
Depth Estimation (Q)
|
77% |
75175
602.1 IPS |
|
|
Style Transfer (SP)
|
100% |
570257
733.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1414747
1.82 KIPS |
|
|
Style Transfer (Q)
|
98% |
489078
630.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
65398
2.41 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81676
3.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47659
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
3847
5.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4539
6.06 KIPS |
|
|
Text Classification (Q)
|
97% |
2312
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
5273
90.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5293
91.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2693
50.5 IPS |