| User | knuffish |
| Upload Date | November 05 2025 01:48 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E70 |
| Motherboard | Micro-Star International Co., Ltd. X870E GAMING PLUS WIFI (MS-7E70) |
| Power Plan | Ausbalanciert |
| 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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15516
2.89 KIPS |
|
|
Image Classification (HP)
|
100% |
17122
3.18 KIPS |
|
|
Image Classification (Q)
|
99% |
12983
2.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27080
439.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
24705
400.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
24623
400.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
297159
346.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
534089
623.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
253345
296.8 IPS |
|
|
Object Detection (SP)
|
100% |
17711
1.40 KIPS |
|
|
Object Detection (HP)
|
99% |
19986
1.59 KIPS |
|
|
Object Detection (Q)
|
87% |
17309
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
60875
723.3 IPS |
|
|
Face Detection (HP)
|
100% |
70148
833.5 IPS |
|
|
Face Detection (Q)
|
97% |
48189
574.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
79003
608.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
94218
725.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
62247
498.8 IPS |
|
|
Style Transfer (SP)
|
100% |
470929
605.4 IPS |
|
|
Style Transfer (HP)
|
100% |
751158
965.6 IPS |
|
|
Style Transfer (Q)
|
98% |
419994
541.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56973
2.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69056
2.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43243
1.60 KIPS |
|
|
Text Classification (SP)
|
100% |
4524
6.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4088
5.46 KIPS |
|
|
Text Classification (Q)
|
97% |
2663
3.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
6221
107.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6657
114.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3182
59.7 IPS |