| User | kinski |
| Upload Date | September 03 2025 04:29 PM |
| Views | 8 |
| 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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4752
883.6 IPS |
|
|
Image Classification (HP)
|
100% |
4672
868.8 IPS |
|
|
Image Classification (Q)
|
100% |
12428
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6473
104.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6463
104.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18207
295.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14088
16.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
14241
16.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
57380
67.2 IPS |
|
|
Object Detection (SP)
|
100% |
5270
418.0 IPS |
|
|
Object Detection (HP)
|
100% |
5187
411.4 IPS |
|
|
Object Detection (Q)
|
88% |
12995
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
12916
153.5 IPS |
|
|
Face Detection (HP)
|
100% |
12708
151.0 IPS |
|
|
Face Detection (Q)
|
100% |
32632
387.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13544
104.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13609
104.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
42395
330.0 IPS |
|
|
Style Transfer (SP)
|
100% |
37478
48.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37386
48.1 IPS |
|
|
Style Transfer (Q)
|
98% |
136438
175.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7588
280.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7543
278.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21578
799.1 IPS |
|
|
Text Classification (SP)
|
100% |
3367
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
3459
4.62 KIPS |
|
|
Text Classification (Q)
|
92% |
3915
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
5289
91.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5327
91.8 IPS |
|
|
Machine Translation (Q)
|
100% |
6610
113.9 IPS |