| User | Patrick_ServeTheHome |
| Upload Date | September 03 2025 09:45 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7945HX3D 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 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% |
4676
869.6 IPS |
|
|
Image Classification (HP)
|
100% |
4696
873.4 IPS |
|
|
Image Classification (Q)
|
100% |
12335
2.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6533
105.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6235
101.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
17770
288.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14485
16.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
14560
17.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
56600
66.3 IPS |
|
|
Object Detection (SP)
|
100% |
5164
409.6 IPS |
|
|
Object Detection (HP)
|
100% |
5303
420.6 IPS |
|
|
Object Detection (Q)
|
88% |
13214
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
13461
159.9 IPS |
|
|
Face Detection (HP)
|
100% |
12987
154.3 IPS |
|
|
Face Detection (Q)
|
100% |
34032
404.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14749
113.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15150
116.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
39636
308.4 IPS |
|
|
Style Transfer (SP)
|
100% |
37044
47.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37525
48.2 IPS |
|
|
Style Transfer (Q)
|
98% |
134576
173.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7510
277.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7646
282.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21320
789.6 IPS |
|
|
Text Classification (SP)
|
100% |
3313
4.42 KIPS |
|
|
Text Classification (HP)
|
100% |
3305
4.41 KIPS |
|
|
Text Classification (Q)
|
92% |
3770
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
5358
92.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5447
93.8 IPS |
|
|
Machine Translation (Q)
|
100% |
5663
97.6 IPS |