| User | 15a |
| Upload Date | May 21 2025 03:33 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7945HX3D |
| 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% |
3378
628.1 IPS |
|
|
Image Classification (HP)
|
100% |
497
92.4 IPS |
|
|
Image Classification (Q)
|
99% |
8863
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2220
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
738
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3854
62.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11538
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
8134
9.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
38989
45.7 IPS |
|
|
Object Detection (SP)
|
100% |
3762
298.4 IPS |
|
|
Object Detection (HP)
|
100% |
668
53.0 IPS |
|
|
Object Detection (Q)
|
86% |
9460
760.3 IPS |
|
|
Face Detection (SP)
|
100% |
6830
81.2 IPS |
|
|
Face Detection (HP)
|
100% |
1339
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
11629
138.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12165
93.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2360
18.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
16668
133.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24369
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
21221
27.3 IPS |
|
|
Style Transfer (Q)
|
98% |
35777
46.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2565
94.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2273
83.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3575
132.4 IPS |
|
|
Text Classification (SP)
|
100% |
1400
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
710
948.0 IPS |
|
|
Text Classification (Q)
|
97% |
1369
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3072
52.9 IPS |
|
|
Machine Translation (HP)
|
100% |
738
12.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4470
89.8 IPS |