| User | gethen |
| Upload Date | August 03 2025 02:34 PM |
| Views | 17 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E42 |
| Motherboard | Micro-Star International Co., Ltd. B860M GAMING PLUS WIFI (MS-7E42) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9343
1.74 KIPS |
|
|
Image Classification (HP)
|
100% |
10808
2.01 KIPS |
|
|
Image Classification (Q)
|
99% |
8679
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11818
191.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14168
229.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
17056
277.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
209180
244.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
481167
561.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
188140
220.4 IPS |
|
|
Object Detection (SP)
|
100% |
9428
747.8 IPS |
|
|
Object Detection (HP)
|
99% |
12359
980.4 IPS |
|
|
Object Detection (Q)
|
87% |
8612
691.6 IPS |
|
|
Face Detection (SP)
|
100% |
38352
455.7 IPS |
|
|
Face Detection (HP)
|
100% |
43993
522.7 IPS |
|
|
Face Detection (Q)
|
97% |
34390
410.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
65495
504.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
87357
673.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
59474
476.6 IPS |
|
|
Style Transfer (SP)
|
100% |
283654
364.6 IPS |
|
|
Style Transfer (HP)
|
100% |
509226
654.6 IPS |
|
|
Style Transfer (Q)
|
98% |
259086
334.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33627
1.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49350
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26497
981.1 IPS |
|
|
Text Classification (SP)
|
100% |
3101
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3621
4.83 KIPS |
|
|
Text Classification (Q)
|
97% |
2115
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4896
84.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5021
86.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2527
47.4 IPS |