AZW GTR Pro
Geekbench AI Score
2323
Single Precision Score
838
Half Precision Score
6080
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | decryp7 |
| Upload Date | September 24 2025 07:01 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 13 (trixie) |
| Model | AZW GTR Pro |
| Motherboard | AZW GTR Pro |
| 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 | 5.19 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1746
324.7 IPS |
|
|
Image Classification (HP)
|
100% |
141
26.2 IPS |
|
|
Image Classification (Q)
|
97% |
4085
762.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1237
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
328
5.32 IPS |
|
|
Image Segmentation (Q)
|
99% |
2126
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5739
6.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
4402
5.14 IPS |
|
|
Pose Estimation (Q)
|
94% |
21138
24.8 IPS |
|
|
Object Detection (SP)
|
100% |
858
68.0 IPS |
|
|
Object Detection (HP)
|
100% |
166
13.2 IPS |
|
|
Object Detection (Q)
|
86% |
9527
765.6 IPS |
|
|
Face Detection (SP)
|
100% |
3077
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
355
4.22 IPS |
|
|
Face Detection (Q)
|
97% |
10192
121.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3911
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
885
6.82 IPS |
|
|
Depth Estimation (Q)
|
78% |
12945
103.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13749
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
17931
23.1 IPS |
|
|
Style Transfer (Q)
|
98% |
16959
21.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1412
52.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2720
100.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2595
96.1 IPS |
|
|
Text Classification (SP)
|
100% |
907
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
622
830.8 IPS |
|
|
Text Classification (Q)
|
97% |
1721
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2032
35.0 IPS |
|
|
Machine Translation (HP)
|
100% |
536
9.24 IPS |
|
|
Machine Translation (Q)
|
65% |
3956
79.5 IPS |
