| Upload Date | July 28 2025 04:58 AM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870I AORUS PRO ICE |
| Motherboard | Gigabyte Technology Co., Ltd. X870I AORUS PRO ICE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
18020
3.35 KIPS |
|
|
Image Classification (HP)
|
100% |
23952
4.45 KIPS |
|
|
Image Classification (Q)
|
100% |
15516
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
38611
625.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
49929
809.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
35866
583.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
410142
478.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
963767
1.12 KIPS |
|
|
Pose Estimation (Q)
|
96% |
329082
385.5 IPS |
|
|
Object Detection (SP)
|
100% |
25920
2.06 KIPS |
|
|
Object Detection (HP)
|
100% |
34765
2.76 KIPS |
|
|
Object Detection (Q)
|
85% |
21336
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
77085
915.9 IPS |
|
|
Face Detection (HP)
|
100% |
105364
1.25 KIPS |
|
|
Face Detection (Q)
|
97% |
60426
720.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
109145
840.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
199374
1.54 KIPS |
|
|
Depth Estimation (Q)
|
77% |
77113
617.6 IPS |
|
|
Style Transfer (SP)
|
100% |
618706
795.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1778908
2.29 KIPS |
|
|
Style Transfer (Q)
|
98% |
517722
667.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
78035
2.88 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
104395
3.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55328
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
4218
5.63 KIPS |
|
|
Text Classification (HP)
|
100% |
5093
6.80 KIPS |
|
|
Text Classification (Q)
|
97% |
2508
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
7609
131.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7630
131.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3236
60.7 IPS |