| User | Sergey609 |
| Upload Date | August 18 2024 12:06 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7945HX |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited AtomMan G Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd DRBAA |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1848
343.7 IPS |
|
|
Image Classification (HP)
|
100% |
171
31.8 IPS |
|
|
Image Classification (Q)
|
99% |
4286
799.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2201
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
278
4.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
3940
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13977
16.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
9380
10.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
39668
46.5 IPS |
|
|
Object Detection (SP)
|
100% |
2284
181.1 IPS |
|
|
Object Detection (HP)
|
100% |
240
19.1 IPS |
|
|
Object Detection (Q)
|
88% |
2159
173.0 IPS |
|
|
Face Detection (SP)
|
100% |
3594
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
347
4.12 IPS |
|
|
Face Detection (Q)
|
97% |
5284
63.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9359
72.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1203
9.27 IPS |
|
|
Depth Estimation (Q)
|
76% |
11480
92.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27040
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22967
29.5 IPS |
|
|
Style Transfer (Q)
|
98% |
34190
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2715
100.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2315
85.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3852
142.6 IPS |
|
|
Text Classification (SP)
|
100% |
1413
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
641
856.2 IPS |
|
|
Text Classification (Q)
|
97% |
1389
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2987
51.5 IPS |
|
|
Machine Translation (HP)
|
100% |
702
12.1 IPS |
|
|
Machine Translation (Q)
|
60% |
3590
80.1 IPS |