| User | asvnpr |
| Upload Date | December 14 2025 07:40 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7945HX3D with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Micro Computer (HK) Tech Limited MotherBoard Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd DRFXI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7945HX3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4839
899.9 IPS |
|
|
Image Classification (HP)
|
100% |
4473
831.8 IPS |
|
|
Image Classification (Q)
|
100% |
12266
2.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6197
100.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6235
101.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
18058
292.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13710
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
13664
15.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
53243
62.3 IPS |
|
|
Object Detection (SP)
|
100% |
5081
403.0 IPS |
|
|
Object Detection (HP)
|
100% |
5157
409.0 IPS |
|
|
Object Detection (Q)
|
88% |
12928
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
12855
152.7 IPS |
|
|
Face Detection (HP)
|
100% |
13103
155.7 IPS |
|
|
Face Detection (Q)
|
100% |
32753
389.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14295
110.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14778
113.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
37846
294.5 IPS |
|
|
Style Transfer (SP)
|
100% |
35022
45.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35031
45.0 IPS |
|
|
Style Transfer (Q)
|
98% |
128252
165.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7200
265.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7296
269.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20092
744.1 IPS |
|
|
Text Classification (SP)
|
100% |
3307
4.41 KIPS |
|
|
Text Classification (HP)
|
100% |
3330
4.44 KIPS |
|
|
Text Classification (Q)
|
92% |
3707
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
5188
89.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5210
89.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5907
101.7 IPS |