| User | MikeA |
| Upload Date | March 27 2025 04:56 PM |
| Views | 14 |
| 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 | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3834
712.9 IPS |
|
|
Image Classification (HP)
|
100% |
506
94.2 IPS |
|
|
Image Classification (Q)
|
99% |
8750
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2197
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
766
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4010
65.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13770
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
9237
10.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
38584
45.2 IPS |
|
|
Object Detection (SP)
|
100% |
3922
311.1 IPS |
|
|
Object Detection (HP)
|
100% |
702
55.7 IPS |
|
|
Object Detection (Q)
|
86% |
9997
803.4 IPS |
|
|
Face Detection (SP)
|
100% |
7022
83.4 IPS |
|
|
Face Detection (HP)
|
100% |
1408
16.7 IPS |
|
|
Face Detection (Q)
|
97% |
12093
144.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11566
89.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2669
20.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
18614
148.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25480
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22666
29.1 IPS |
|
|
Style Transfer (Q)
|
98% |
32378
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2752
101.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2335
86.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3823
141.6 IPS |
|
|
Text Classification (SP)
|
100% |
1455
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
660
880.5 IPS |
|
|
Text Classification (Q)
|
97% |
1328
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3027
52.1 IPS |
|
|
Machine Translation (HP)
|
100% |
756
13.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4723
94.9 IPS |