| User | MrSolenoid |
| Upload Date | August 05 2025 01:27 AM |
| Views | 16 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17458
3.25 KIPS |
|
|
Image Classification (HP)
|
100% |
22973
4.27 KIPS |
|
|
Image Classification (Q)
|
100% |
15197
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
32719
530.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
40194
651.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
29953
487.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
408732
476.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
987828
1.15 KIPS |
|
|
Pose Estimation (Q)
|
96% |
328246
384.5 IPS |
|
|
Object Detection (SP)
|
100% |
24577
1.95 KIPS |
|
|
Object Detection (HP)
|
100% |
32131
2.55 KIPS |
|
|
Object Detection (Q)
|
85% |
20441
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
74942
890.5 IPS |
|
|
Face Detection (HP)
|
100% |
100056
1.19 KIPS |
|
|
Face Detection (Q)
|
97% |
59767
712.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
108855
838.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
194567
1.50 KIPS |
|
|
Depth Estimation (Q)
|
77% |
78082
625.4 IPS |
|
|
Style Transfer (SP)
|
100% |
607828
781.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1676578
2.16 KIPS |
|
|
Style Transfer (Q)
|
98% |
510591
658.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
72781
2.69 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
93470
3.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52385
1.94 KIPS |
|
|
Text Classification (SP)
|
100% |
4149
5.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4946
6.60 KIPS |
|
|
Text Classification (Q)
|
97% |
2496
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
6696
115.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6755
116.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3053
57.3 IPS |