| Upload Date | December 08 2025 04:16 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | PCSpecialist Nexa 980 |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X870-P WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17902
3.33 KIPS |
|
|
Image Classification (HP)
|
100% |
23175
4.31 KIPS |
|
|
Image Classification (Q)
|
100% |
15351
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
40092
649.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
52678
854.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
37073
602.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
408700
476.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
1033202
1.21 KIPS |
|
|
Pose Estimation (Q)
|
96% |
328785
385.1 IPS |
|
|
Object Detection (SP)
|
100% |
25712
2.04 KIPS |
|
|
Object Detection (HP)
|
100% |
34447
2.73 KIPS |
|
|
Object Detection (Q)
|
85% |
21168
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
79598
945.8 IPS |
|
|
Face Detection (HP)
|
100% |
108412
1.29 KIPS |
|
|
Face Detection (Q)
|
97% |
62098
740.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
109689
845.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
197938
1.52 KIPS |
|
|
Depth Estimation (Q)
|
77% |
78307
627.2 IPS |
|
|
Style Transfer (SP)
|
100% |
621171
798.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1794461
2.31 KIPS |
|
|
Style Transfer (Q)
|
98% |
519015
669.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
77534
2.86 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
103990
3.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54985
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
4210
5.62 KIPS |
|
|
Text Classification (HP)
|
100% |
5078
6.78 KIPS |
|
|
Text Classification (Q)
|
97% |
2435
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
7804
134.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7788
134.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3247
60.9 IPS |