| Upload Date | August 20 2025 10:41 PM |
| Views | 8 |
| 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 | High performance |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4998
929.4 IPS |
|
|
Image Classification (HP)
|
100% |
4895
910.3 IPS |
|
|
Image Classification (Q)
|
100% |
12470
2.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6746
109.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6788
110.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18568
301.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14708
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14771
17.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
57603
67.4 IPS |
|
|
Object Detection (SP)
|
100% |
5497
436.0 IPS |
|
|
Object Detection (HP)
|
100% |
5398
428.1 IPS |
|
|
Object Detection (Q)
|
88% |
13649
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
12851
152.7 IPS |
|
|
Face Detection (HP)
|
100% |
12692
150.8 IPS |
|
|
Face Detection (Q)
|
100% |
34708
412.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13983
107.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14583
112.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
42621
331.7 IPS |
|
|
Style Transfer (SP)
|
100% |
38486
49.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38373
49.3 IPS |
|
|
Style Transfer (Q)
|
98% |
139806
180.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7784
287.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8004
295.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22341
827.4 IPS |
|
|
Text Classification (SP)
|
100% |
3388
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
3454
4.61 KIPS |
|
|
Text Classification (Q)
|
92% |
4064
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
5736
98.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5760
99.2 IPS |
|
|
Machine Translation (Q)
|
100% |
6151
105.9 IPS |