User | cppctek |
Upload Date | March 02 2025 12:50 PM |
Views | 1 |
Notes | Manual plugged In maxedd |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA |
Motherboard | ASUSTeK COMPUTER INC. GZ302EA |
Power Plan | Turbo |
CPU Information | |
---|---|
Name | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
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 | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
4335
806.1 IPS |
|
Image Classification (HP)
|
100% |
676
125.7 IPS |
|
Image Classification (Q)
|
99% |
10011
1.87 KIPS |
|
Image Segmentation (SP)
|
100% |
1835
29.7 IPS |
|
Image Segmentation (HP)
|
100% |
1018
16.5 IPS |
|
Image Segmentation (Q)
|
98% |
3851
62.6 IPS |
|
Pose Estimation (SP)
|
100% |
20693
24.1 IPS |
|
Pose Estimation (HP)
|
100% |
12640
14.7 IPS |
|
Pose Estimation (Q)
|
94% |
58434
68.5 IPS |
|
Object Detection (SP)
|
100% |
4492
356.3 IPS |
|
Object Detection (HP)
|
100% |
870
69.0 IPS |
|
Object Detection (Q)
|
86% |
11914
957.5 IPS |
|
Face Detection (SP)
|
100% |
8685
103.2 IPS |
|
Face Detection (HP)
|
100% |
1998
23.7 IPS |
|
Face Detection (Q)
|
97% |
13065
155.8 IPS |
|
Depth Estimation (SP)
|
100% |
15199
117.1 IPS |
|
Depth Estimation (HP)
|
99% |
3308
25.5 IPS |
|
Depth Estimation (Q)
|
78% |
11387
90.9 IPS |
|
Style Transfer (SP)
|
100% |
35153
45.2 IPS |
|
Style Transfer (HP)
|
100% |
27140
34.9 IPS |
|
Style Transfer (Q)
|
98% |
60987
78.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
3757
138.7 IPS |
|
Image Super-Resolution (HP)
|
100% |
2679
98.9 IPS |
|
Image Super-Resolution (Q)
|
99% |
4843
179.3 IPS |
|
Text Classification (SP)
|
100% |
1702
2.27 KIPS |
|
Text Classification (HP)
|
100% |
727
970.0 IPS |
|
Text Classification (Q)
|
97% |
1655
2.22 KIPS |
|
Machine Translation (SP)
|
100% |
3237
55.8 IPS |
|
Machine Translation (HP)
|
100% |
814
14.0 IPS |
|
Machine Translation (Q)
|
65% |
4745
95.4 IPS |