| User | james_kwit |
| Upload Date | September 29 2025 01:03 AM |
| Views | 7 |
| 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% |
4314
802.2 IPS |
|
|
Image Classification (HP)
|
100% |
609
113.3 IPS |
|
|
Image Classification (Q)
|
99% |
9337
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2176
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
830
13.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
11943
194.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14182
16.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
9703
11.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
38990
45.7 IPS |
|
|
Object Detection (SP)
|
100% |
4195
332.7 IPS |
|
|
Object Detection (HP)
|
100% |
790
62.7 IPS |
|
|
Object Detection (Q)
|
86% |
10163
816.7 IPS |
|
|
Face Detection (SP)
|
100% |
7742
92.0 IPS |
|
|
Face Detection (HP)
|
100% |
1505
17.9 IPS |
|
|
Face Detection (Q)
|
97% |
11677
139.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11899
91.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2897
22.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
21696
173.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26461
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23780
30.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31914
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2813
103.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2418
89.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4821
178.5 IPS |
|
|
Text Classification (SP)
|
100% |
1391
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
788
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1348
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3152
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1043
18.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4344
87.3 IPS |