| User | james_kwit |
| Upload Date | October 01 2025 01:30 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7945HX 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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7945HX |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4797
892.1 IPS |
|
|
Image Classification (HP)
|
100% |
4949
920.4 IPS |
|
|
Image Classification (Q)
|
100% |
12414
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6658
107.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6822
110.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
18259
296.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14399
16.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14515
16.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
57534
67.4 IPS |
|
|
Object Detection (SP)
|
100% |
5522
438.0 IPS |
|
|
Object Detection (HP)
|
100% |
5398
428.2 IPS |
|
|
Object Detection (Q)
|
88% |
13510
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
13723
163.1 IPS |
|
|
Face Detection (HP)
|
100% |
12483
148.3 IPS |
|
|
Face Detection (Q)
|
100% |
33139
393.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14136
108.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14393
110.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
41124
320.0 IPS |
|
|
Style Transfer (SP)
|
100% |
38133
49.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38066
48.9 IPS |
|
|
Style Transfer (Q)
|
98% |
135120
174.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7729
285.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7795
287.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22445
831.2 IPS |
|
|
Text Classification (SP)
|
100% |
3405
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
3626
4.84 KIPS |
|
|
Text Classification (Q)
|
92% |
4549
6.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5702
98.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5612
96.7 IPS |
|
|
Machine Translation (Q)
|
100% |
7142
123.0 IPS |