| User | gethen |
| Upload Date | August 03 2025 03:35 PM |
| Views | 12 |
| 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% |
9719
1.81 KIPS |
|
|
Image Classification (HP)
|
100% |
11211
2.08 KIPS |
|
|
Image Classification (Q)
|
99% |
8617
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19638
318.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
25701
416.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
17965
292.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
208085
242.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
473712
552.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
190708
223.4 IPS |
|
|
Object Detection (SP)
|
100% |
9872
783.0 IPS |
|
|
Object Detection (HP)
|
99% |
12965
1.03 KIPS |
|
|
Object Detection (Q)
|
87% |
8832
709.3 IPS |
|
|
Face Detection (SP)
|
100% |
39166
465.4 IPS |
|
|
Face Detection (HP)
|
100% |
44348
527.0 IPS |
|
|
Face Detection (Q)
|
97% |
34856
415.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
70169
540.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
93859
723.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
62538
501.2 IPS |
|
|
Style Transfer (SP)
|
100% |
292245
375.7 IPS |
|
|
Style Transfer (HP)
|
100% |
473961
609.3 IPS |
|
|
Style Transfer (Q)
|
98% |
291098
375.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37344
1.38 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56284
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29742
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3433
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
3905
5.21 KIPS |
|
|
Text Classification (Q)
|
97% |
2126
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
5426
93.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5344
92.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2910
54.6 IPS |