| User | tocomcc |
| Upload Date | October 14 2025 09:47 PM |
| Views | 28 |
| 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% |
4559
847.8 IPS |
|
|
Image Classification (HP)
|
100% |
4510
838.7 IPS |
|
|
Image Classification (Q)
|
100% |
11721
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5714
92.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5699
92.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
16257
263.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12912
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
13244
15.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
51248
60.0 IPS |
|
|
Object Detection (SP)
|
100% |
4737
375.8 IPS |
|
|
Object Detection (HP)
|
100% |
4909
389.4 IPS |
|
|
Object Detection (Q)
|
88% |
12085
968.7 IPS |
|
|
Face Detection (SP)
|
100% |
11243
133.6 IPS |
|
|
Face Detection (HP)
|
100% |
11508
136.7 IPS |
|
|
Face Detection (Q)
|
100% |
30024
356.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12050
92.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12176
93.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
36151
281.3 IPS |
|
|
Style Transfer (SP)
|
100% |
33587
43.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33884
43.6 IPS |
|
|
Style Transfer (Q)
|
98% |
125017
161.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6777
250.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7098
262.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20179
747.3 IPS |
|
|
Text Classification (SP)
|
100% |
3348
4.47 KIPS |
|
|
Text Classification (HP)
|
100% |
3326
4.44 KIPS |
|
|
Text Classification (Q)
|
92% |
3973
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
5200
89.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5065
87.2 IPS |
|
|
Machine Translation (Q)
|
100% |
6019
103.7 IPS |