| User | akadetonator |
| Upload Date | April 26 2025 08:51 PM |
| Views | 20 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 HERO |
| Power Plan | Ultimate Performance |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16233
3.02 KIPS |
|
|
Image Classification (HP)
|
100% |
20607
3.83 KIPS |
|
|
Image Classification (Q)
|
100% |
14015
2.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
35826
580.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
44983
729.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
32245
524.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
395918
462.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
897093
1.05 KIPS |
|
|
Pose Estimation (Q)
|
96% |
314007
367.8 IPS |
|
|
Object Detection (SP)
|
100% |
22092
1.75 KIPS |
|
|
Object Detection (HP)
|
100% |
28139
2.23 KIPS |
|
|
Object Detection (Q)
|
85% |
18436
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
65723
780.9 IPS |
|
|
Face Detection (HP)
|
100% |
86549
1.03 KIPS |
|
|
Face Detection (Q)
|
97% |
52656
627.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
102143
787.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
187742
1.45 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72959
584.4 IPS |
|
|
Style Transfer (SP)
|
100% |
579242
744.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1609124
2.07 KIPS |
|
|
Style Transfer (Q)
|
98% |
485645
626.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
71584
2.64 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
91116
3.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51434
1.90 KIPS |
|
|
Text Classification (SP)
|
100% |
3849
5.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4689
6.26 KIPS |
|
|
Text Classification (Q)
|
97% |
2329
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
6799
117.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6820
117.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3023
56.7 IPS |