| User | kinski |
| Upload Date | August 17 2025 07:14 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HX with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited MotherBoard Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd DRFXL |
| Power Plan | Tasakaalustatud |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HX with Radeon Graphics |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3910
727.1 IPS |
|
|
Image Classification (HP)
|
100% |
540
100.4 IPS |
|
|
Image Classification (Q)
|
99% |
8296
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2215
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
735
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3818
62.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13842
16.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
9389
11.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
38833
45.5 IPS |
|
|
Object Detection (SP)
|
100% |
3776
299.5 IPS |
|
|
Object Detection (HP)
|
100% |
680
54.0 IPS |
|
|
Object Detection (Q)
|
86% |
9419
757.0 IPS |
|
|
Face Detection (SP)
|
100% |
7116
84.6 IPS |
|
|
Face Detection (HP)
|
100% |
1364
16.2 IPS |
|
|
Face Detection (Q)
|
97% |
11414
136.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11998
92.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2678
20.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
19248
153.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25474
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22409
28.8 IPS |
|
|
Style Transfer (Q)
|
98% |
33739
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2684
99.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2243
82.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3538
131.0 IPS |
|
|
Text Classification (SP)
|
100% |
1421
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
648
865.0 IPS |
|
|
Text Classification (Q)
|
97% |
1364
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
2893
49.8 IPS |
|
|
Machine Translation (HP)
|
100% |
747
12.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3761
75.6 IPS |