| User | phils8s4 |
| Upload Date | December 23 2025 04:12 AM |
| Views | 27 |
| 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% |
11668
2.17 KIPS |
|
|
Image Classification (HP)
|
100% |
14695
2.73 KIPS |
|
|
Image Classification (Q)
|
100% |
10871
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15009
243.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21005
340.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
15027
244.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
136601
159.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
434908
507.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
120020
140.6 IPS |
|
|
Object Detection (SP)
|
100% |
9785
776.2 IPS |
|
|
Object Detection (HP)
|
99% |
14149
1.12 KIPS |
|
|
Object Detection (Q)
|
87% |
9051
726.9 IPS |
|
|
Face Detection (SP)
|
100% |
28370
337.1 IPS |
|
|
Face Detection (HP)
|
100% |
39118
464.8 IPS |
|
|
Face Detection (Q)
|
97% |
25751
307.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
66402
511.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
100520
774.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
54782
439.3 IPS |
|
|
Style Transfer (SP)
|
100% |
246005
316.2 IPS |
|
|
Style Transfer (HP)
|
100% |
479365
616.2 IPS |
|
|
Style Transfer (Q)
|
98% |
207908
268.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40495
1.50 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82405
3.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32352
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
4344
5.80 KIPS |
|
|
Text Classification (HP)
|
100% |
5013
6.69 KIPS |
|
|
Text Classification (Q)
|
97% |
2911
3.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5070
87.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4983
85.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2636
49.4 IPS |