| User | phils8s4 |
| Upload Date | December 31 2025 03:34 AM |
| Views | 21 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 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% |
14799
2.75 KIPS |
|
|
Image Classification (HP)
|
100% |
17179
3.19 KIPS |
|
|
Image Classification (Q)
|
99% |
13523
2.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18395
298.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21810
353.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
23616
384.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
220196
256.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
643515
750.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
197211
231.0 IPS |
|
|
Object Detection (SP)
|
100% |
14499
1.15 KIPS |
|
|
Object Detection (HP)
|
99% |
19825
1.57 KIPS |
|
|
Object Detection (Q)
|
87% |
14059
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
53409
634.6 IPS |
|
|
Face Detection (HP)
|
100% |
57847
687.3 IPS |
|
|
Face Detection (Q)
|
97% |
46042
549.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
80036
616.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
122192
941.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
65687
526.4 IPS |
|
|
Style Transfer (SP)
|
100% |
400983
515.5 IPS |
|
|
Style Transfer (HP)
|
100% |
716971
921.7 IPS |
|
|
Style Transfer (Q)
|
98% |
363719
469.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48589
1.79 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78555
2.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39559
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
4169
5.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4025
5.37 KIPS |
|
|
Text Classification (Q)
|
97% |
2515
3.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
6231
107.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6358
109.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2917
54.7 IPS |