| User | james_kwit |
| Upload Date | October 29 2025 01:44 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7945HX |
| 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% |
4261
792.4 IPS |
|
|
Image Classification (HP)
|
100% |
584
108.6 IPS |
|
|
Image Classification (Q)
|
99% |
8890
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1692
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
834
13.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
12448
202.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13833
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
9533
11.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
40531
47.5 IPS |
|
|
Object Detection (SP)
|
100% |
3828
303.6 IPS |
|
|
Object Detection (HP)
|
100% |
786
62.4 IPS |
|
|
Object Detection (Q)
|
86% |
8780
705.6 IPS |
|
|
Face Detection (SP)
|
100% |
7044
83.7 IPS |
|
|
Face Detection (HP)
|
100% |
1467
17.4 IPS |
|
|
Face Detection (Q)
|
97% |
12328
147.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11789
90.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2837
21.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
20003
159.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26968
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23421
30.1 IPS |
|
|
Style Transfer (Q)
|
98% |
30279
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2685
99.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2423
89.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4895
181.2 IPS |
|
|
Text Classification (SP)
|
100% |
1552
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
789
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1297
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2660
45.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1023
17.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3771
75.8 IPS |