| Upload Date | November 09 2025 01:19 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Veriton RA100 |
| Motherboard | Acer VRA100-STXH |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI Max+ 395 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6317
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
711
132.2 IPS |
|
|
Image Classification (Q)
|
99% |
12467
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1463
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1078
17.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
14583
237.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13724
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10557
12.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
44945
52.7 IPS |
|
|
Object Detection (SP)
|
100% |
4980
395.0 IPS |
|
|
Object Detection (HP)
|
100% |
928
73.6 IPS |
|
|
Object Detection (Q)
|
86% |
12677
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
11856
140.9 IPS |
|
|
Face Detection (HP)
|
100% |
2005
23.8 IPS |
|
|
Face Detection (Q)
|
97% |
12941
154.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15234
117.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3033
23.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
11600
92.6 IPS |
|
|
Style Transfer (SP)
|
100% |
29211
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24496
31.5 IPS |
|
|
Style Transfer (Q)
|
98% |
48266
62.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4221
155.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3423
126.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4444
164.6 IPS |
|
|
Text Classification (SP)
|
100% |
2501
3.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1002
1.34 KIPS |
|
|
Text Classification (Q)
|
97% |
1625
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3227
55.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1090
18.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4210
84.6 IPS |