| User | phils8s4 |
| Upload Date | December 23 2025 03:01 AM |
| Views | 25 |
| 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. B760M GAMING PLUS WIFI DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B760M GAMING PLUS WIFI DDR4 |
| 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% |
12621
2.35 KIPS |
|
|
Image Classification (HP)
|
100% |
15124
2.81 KIPS |
|
|
Image Classification (Q)
|
100% |
11602
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16610
269.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21016
340.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
14621
237.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
131586
153.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
436952
509.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
114358
134.0 IPS |
|
|
Object Detection (SP)
|
100% |
10413
826.0 IPS |
|
|
Object Detection (HP)
|
99% |
15801
1.25 KIPS |
|
|
Object Detection (Q)
|
87% |
9488
762.0 IPS |
|
|
Face Detection (SP)
|
100% |
29559
351.2 IPS |
|
|
Face Detection (HP)
|
100% |
40820
485.0 IPS |
|
|
Face Detection (Q)
|
97% |
25865
308.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
65086
501.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
100715
776.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
54136
434.1 IPS |
|
|
Style Transfer (SP)
|
100% |
238761
306.9 IPS |
|
|
Style Transfer (HP)
|
100% |
489125
628.8 IPS |
|
|
Style Transfer (Q)
|
98% |
205416
264.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42198
1.56 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81210
3.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32146
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
4236
5.65 KIPS |
|
|
Text Classification (HP)
|
100% |
4956
6.61 KIPS |
|
|
Text Classification (Q)
|
97% |
2998
4.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
5027
86.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5211
89.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2483
46.6 IPS |