| User | danm1988 |
| Upload Date | April 12 2025 03:56 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | Micro Computer (HK) Tech Limited AtomMan X Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd MTBAC |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11820
2.20 KIPS |
|
|
Image Classification (HP)
|
100% |
12494
2.32 KIPS |
|
|
Image Classification (Q)
|
99% |
10484
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10927
177.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10503
170.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
10400
169.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
264394
308.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
328669
383.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
225870
264.6 IPS |
|
|
Object Detection (SP)
|
100% |
11190
887.6 IPS |
|
|
Object Detection (HP)
|
99% |
11989
951.0 IPS |
|
|
Object Detection (Q)
|
87% |
10619
852.9 IPS |
|
|
Face Detection (SP)
|
100% |
27103
322.0 IPS |
|
|
Face Detection (HP)
|
100% |
28220
335.3 IPS |
|
|
Face Detection (Q)
|
97% |
30239
360.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
69495
535.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
82083
632.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
56141
449.9 IPS |
|
|
Style Transfer (SP)
|
100% |
389479
500.7 IPS |
|
|
Style Transfer (HP)
|
100% |
528780
679.8 IPS |
|
|
Style Transfer (Q)
|
98% |
361234
465.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43981
1.62 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49678
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34632
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
3930
5.25 KIPS |
|
|
Text Classification (HP)
|
100% |
3820
5.10 KIPS |
|
|
Text Classification (Q)
|
97% |
2602
3.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2760
47.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2792
48.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1872
35.1 IPS |