| Upload Date | December 10 2025 06:43 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 D v2 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E47 |
| Motherboard | Micro-Star International Co., Ltd. PRO X870-P WIFI (MS-7E47) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
18038
3.35 KIPS |
|
|
Image Classification (HP)
|
100% |
23943
4.45 KIPS |
|
|
Image Classification (Q)
|
100% |
15569
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
39137
634.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
51257
830.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
36173
588.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
404076
471.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
1016233
1.19 KIPS |
|
|
Pose Estimation (Q)
|
96% |
322707
378.0 IPS |
|
|
Object Detection (SP)
|
100% |
26824
2.13 KIPS |
|
|
Object Detection (HP)
|
100% |
35886
2.85 KIPS |
|
|
Object Detection (Q)
|
85% |
21694
1.75 KIPS |
|
|
Face Detection (SP)
|
100% |
78441
932.1 IPS |
|
|
Face Detection (HP)
|
100% |
106965
1.27 KIPS |
|
|
Face Detection (Q)
|
97% |
61832
737.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
108975
839.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
199269
1.54 KIPS |
|
|
Depth Estimation (Q)
|
77% |
78298
627.1 IPS |
|
|
Style Transfer (SP)
|
100% |
615719
791.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1802528
2.32 KIPS |
|
|
Style Transfer (Q)
|
98% |
516127
665.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
78657
2.90 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
106872
3.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56198
2.08 KIPS |
|
|
Text Classification (SP)
|
100% |
4308
5.75 KIPS |
|
|
Text Classification (HP)
|
100% |
5188
6.92 KIPS |
|
|
Text Classification (Q)
|
97% |
2488
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
7826
134.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7855
135.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3245
60.9 IPS |