| User | kinski |
| Upload Date | September 03 2025 09:53 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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 | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4698
873.7 IPS |
|
|
Image Classification (HP)
|
100% |
4882
907.9 IPS |
|
|
Image Classification (Q)
|
100% |
12724
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6851
111.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6842
110.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18459
299.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14370
16.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14425
16.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
58857
68.9 IPS |
|
|
Object Detection (SP)
|
100% |
5483
434.9 IPS |
|
|
Object Detection (HP)
|
100% |
5380
426.7 IPS |
|
|
Object Detection (Q)
|
88% |
13520
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
12875
153.0 IPS |
|
|
Face Detection (HP)
|
100% |
12985
154.3 IPS |
|
|
Face Detection (Q)
|
100% |
35334
419.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13964
107.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14503
111.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
43620
339.5 IPS |
|
|
Style Transfer (SP)
|
100% |
38093
49.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38801
49.9 IPS |
|
|
Style Transfer (Q)
|
98% |
137649
177.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7718
285.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7888
291.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22105
818.7 IPS |
|
|
Text Classification (SP)
|
100% |
3286
4.39 KIPS |
|
|
Text Classification (HP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (Q)
|
92% |
3914
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
5744
98.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5426
93.5 IPS |
|
|
Machine Translation (Q)
|
100% |
5707
98.3 IPS |