| Upload Date | September 26 2025 04:57 PM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | PCSpecialist Amd Am5 White |
| Motherboard | Gigabyte Technology Co., Ltd. X870 AORUS ELITE WIFI7 ICE |
| Power Plan | Equilibrado |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
18300
3.40 KIPS |
|
|
Image Classification (HP)
|
100% |
24176
4.50 KIPS |
|
|
Image Classification (Q)
|
100% |
16108
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
40272
652.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
51772
839.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
37249
605.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
427473
498.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
1073543
1.25 KIPS |
|
|
Pose Estimation (Q)
|
96% |
341332
399.8 IPS |
|
|
Object Detection (SP)
|
100% |
27158
2.15 KIPS |
|
|
Object Detection (HP)
|
100% |
36078
2.86 KIPS |
|
|
Object Detection (Q)
|
85% |
22183
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
80288
954.0 IPS |
|
|
Face Detection (HP)
|
100% |
109194
1.30 KIPS |
|
|
Face Detection (Q)
|
97% |
63341
755.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
112314
865.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
203867
1.57 KIPS |
|
|
Depth Estimation (Q)
|
77% |
80855
647.6 IPS |
|
|
Style Transfer (SP)
|
100% |
646686
831.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1893942
2.43 KIPS |
|
|
Style Transfer (Q)
|
98% |
534022
688.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
81073
2.99 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
108755
4.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57734
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
4402
5.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5157
6.88 KIPS |
|
|
Text Classification (Q)
|
97% |
2534
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
7666
132.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7901
136.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3325
62.4 IPS |