| User | phils8s4 |
| Upload Date | December 23 2025 03:58 AM |
| Views | 21 |
| 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% |
12545
2.33 KIPS |
|
|
Image Classification (HP)
|
100% |
15306
2.85 KIPS |
|
|
Image Classification (Q)
|
100% |
11535
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16538
268.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20629
334.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
15077
245.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
136682
159.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
433489
505.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
118030
138.3 IPS |
|
|
Object Detection (SP)
|
100% |
10396
824.7 IPS |
|
|
Object Detection (HP)
|
99% |
15635
1.24 KIPS |
|
|
Object Detection (Q)
|
87% |
10003
803.4 IPS |
|
|
Face Detection (SP)
|
100% |
30378
361.0 IPS |
|
|
Face Detection (HP)
|
100% |
41502
493.1 IPS |
|
|
Face Detection (Q)
|
97% |
26646
317.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
66192
510.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
101972
785.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
53468
428.8 IPS |
|
|
Style Transfer (SP)
|
100% |
244353
314.1 IPS |
|
|
Style Transfer (HP)
|
100% |
463626
596.0 IPS |
|
|
Style Transfer (Q)
|
98% |
207806
268.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40776
1.51 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81323
3.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31064
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
4366
5.83 KIPS |
|
|
Text Classification (HP)
|
100% |
4922
6.57 KIPS |
|
|
Text Classification (Q)
|
97% |
2971
3.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
5015
86.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5125
88.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2500
46.9 IPS |