| User | phils8s4 |
| Upload Date | December 24 2025 04:02 AM |
| Views | 112 |
| 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% |
12684
2.36 KIPS |
|
|
Image Classification (HP)
|
100% |
15081
2.80 KIPS |
|
|
Image Classification (Q)
|
100% |
11696
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16323
264.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21044
341.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
15390
250.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
137000
159.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
429429
501.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
122612
143.6 IPS |
|
|
Object Detection (SP)
|
100% |
10545
836.4 IPS |
|
|
Object Detection (HP)
|
99% |
15578
1.24 KIPS |
|
|
Object Detection (Q)
|
87% |
9766
784.3 IPS |
|
|
Face Detection (SP)
|
100% |
31559
375.0 IPS |
|
|
Face Detection (HP)
|
100% |
38453
456.9 IPS |
|
|
Face Detection (Q)
|
97% |
25236
300.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
67747
522.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
100278
772.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
55545
445.4 IPS |
|
|
Style Transfer (SP)
|
100% |
249959
321.3 IPS |
|
|
Style Transfer (HP)
|
100% |
485889
624.6 IPS |
|
|
Style Transfer (Q)
|
98% |
200863
259.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40625
1.50 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81366
3.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32139
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
4316
5.76 KIPS |
|
|
Text Classification (HP)
|
100% |
4945
6.60 KIPS |
|
|
Text Classification (Q)
|
97% |
2902
3.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
5082
87.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5116
88.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2775
52.0 IPS |