| User | james_kwit |
| Upload Date | October 29 2025 01:45 PM |
| Views | 3 |
| 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% |
4927
916.3 IPS |
|
|
Image Classification (HP)
|
100% |
4572
850.2 IPS |
|
|
Image Classification (Q)
|
100% |
12275
2.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6849
111.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6594
106.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
17771
288.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14410
16.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14539
17.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
57939
67.8 IPS |
|
|
Object Detection (SP)
|
100% |
5219
414.0 IPS |
|
|
Object Detection (HP)
|
100% |
5173
410.4 IPS |
|
|
Object Detection (Q)
|
88% |
13689
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
13223
157.1 IPS |
|
|
Face Detection (HP)
|
100% |
12583
149.5 IPS |
|
|
Face Detection (Q)
|
100% |
34543
410.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14059
108.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14353
110.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
41276
321.2 IPS |
|
|
Style Transfer (SP)
|
100% |
38119
49.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38284
49.2 IPS |
|
|
Style Transfer (Q)
|
98% |
137260
177.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7789
287.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7877
290.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21832
808.5 IPS |
|
|
Text Classification (SP)
|
100% |
3325
4.44 KIPS |
|
|
Text Classification (HP)
|
100% |
3472
4.63 KIPS |
|
|
Text Classification (Q)
|
92% |
4164
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5521
95.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5495
94.7 IPS |
|
|
Machine Translation (Q)
|
100% |
6224
107.2 IPS |