| User | anbG34 |
| Upload Date | October 28 2024 02:25 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 8945HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited EliteMini Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd HPBSD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 8945HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1708
317.6 IPS |
|
|
Image Classification (HP)
|
100% |
551
102.5 IPS |
|
|
Image Classification (Q)
|
99% |
4982
929.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1156
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
842
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2584
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4996
5.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
4371
5.10 IPS |
|
|
Pose Estimation (Q)
|
95% |
23105
27.1 IPS |
|
|
Object Detection (SP)
|
100% |
1900
150.7 IPS |
|
|
Object Detection (HP)
|
100% |
684
54.3 IPS |
|
|
Object Detection (Q)
|
88% |
1863
149.4 IPS |
|
|
Face Detection (SP)
|
100% |
3220
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
1645
19.6 IPS |
|
|
Face Detection (Q)
|
97% |
5331
63.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6218
47.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2355
18.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
5604
44.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12566
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11919
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
26255
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2249
83.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1946
71.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3643
134.9 IPS |
|
|
Text Classification (SP)
|
100% |
2143
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
743
991.2 IPS |
|
|
Text Classification (Q)
|
97% |
436
583.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2067
35.6 IPS |
|
|
Machine Translation (HP)
|
100% |
677
11.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2184
48.7 IPS |