| User | phils8s4 |
| Upload Date | December 30 2025 03:26 PM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790M AORUS ELITE AX ICE |
| Motherboard | Gigabyte Technology Co., Ltd. Z790M AORUS ELITE AX ICE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13484
2.51 KIPS |
|
|
Image Classification (HP)
|
100% |
16418
3.05 KIPS |
|
|
Image Classification (Q)
|
100% |
11934
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19755
320.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
29434
477.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
18087
294.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
139692
163.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
452478
528.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
122344
143.3 IPS |
|
|
Object Detection (SP)
|
100% |
11209
889.1 IPS |
|
|
Object Detection (HP)
|
99% |
17569
1.39 KIPS |
|
|
Object Detection (Q)
|
87% |
10366
832.5 IPS |
|
|
Face Detection (SP)
|
100% |
34920
414.9 IPS |
|
|
Face Detection (HP)
|
100% |
49171
584.3 IPS |
|
|
Face Detection (Q)
|
97% |
29810
355.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
69765
537.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
103357
796.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
55914
448.4 IPS |
|
|
Style Transfer (SP)
|
100% |
259765
333.9 IPS |
|
|
Style Transfer (HP)
|
100% |
507098
651.9 IPS |
|
|
Style Transfer (Q)
|
98% |
218719
282.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43273
1.60 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
86200
3.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33567
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
4708
6.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5405
7.21 KIPS |
|
|
Text Classification (Q)
|
97% |
3216
4.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
6653
114.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6648
114.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3608
67.7 IPS |