| User | Xtra987 |
| Upload Date | November 29 2025 03:45 PM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B860M AORUS ELITE WIFI6E |
| Motherboard | Gigabyte Technology Co., Ltd. B860M AORUS ELITE WIFI6E |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245K |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10428
1.94 KIPS |
|
|
Image Classification (HP)
|
100% |
7873
1.46 KIPS |
|
|
Image Classification (Q)
|
100% |
7922
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11081
179.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10954
177.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
13585
220.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
127385
148.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
402792
470.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
108118
126.6 IPS |
|
|
Object Detection (SP)
|
100% |
10470
830.5 IPS |
|
|
Object Detection (HP)
|
99% |
14667
1.16 KIPS |
|
|
Object Detection (Q)
|
87% |
7373
592.1 IPS |
|
|
Face Detection (SP)
|
100% |
31582
375.3 IPS |
|
|
Face Detection (HP)
|
100% |
31880
378.8 IPS |
|
|
Face Detection (Q)
|
97% |
22491
268.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
61746
475.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
87327
672.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
48383
388.0 IPS |
|
|
Style Transfer (SP)
|
100% |
208627
268.2 IPS |
|
|
Style Transfer (HP)
|
100% |
411456
528.9 IPS |
|
|
Style Transfer (Q)
|
98% |
172645
222.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33726
1.25 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50626
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28807
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3140
4.19 KIPS |
|
|
Text Classification (HP)
|
100% |
3717
4.96 KIPS |
|
|
Text Classification (Q)
|
97% |
2141
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4034
69.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3749
64.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2532
47.5 IPS |