AZW GTR Pro
Geekbench AI Score
2909
Single Precision Score
2929
Half Precision Score
2571
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | hitch22 |
| Upload Date | March 15 2026 11:41 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | openSUSE Tumbleweed |
| 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 | 124.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1810
336.6 IPS |
|
|
Image Classification (HP)
|
100% |
1822
338.8 IPS |
|
|
Image Classification (Q)
|
99% |
1897
353.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3009
48.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3074
49.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1701
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4514
5.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
4439
5.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
6366
7.46 IPS |
|
|
Object Detection (SP)
|
100% |
2168
171.9 IPS |
|
|
Object Detection (HP)
|
100% |
2132
169.1 IPS |
|
|
Object Detection (Q)
|
85% |
2223
179.0 IPS |
|
|
Face Detection (SP)
|
100% |
3451
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
3479
41.3 IPS |
|
|
Face Detection (Q)
|
97% |
3888
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3322
25.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3303
25.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
3106
29.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5590
7.19 IPS |
|
|
Style Transfer (HP)
|
100% |
5632
7.24 IPS |
|
|
Style Transfer (Q)
|
98% |
9882
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1945
71.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1948
71.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2650
98.2 IPS |
|
|
Text Classification (SP)
|
100% |
1735
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
1745
2.33 KIPS |
|
|
Text Classification (Q)
|
92% |
944
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3771
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3996
68.8 IPS |
|
|
Machine Translation (Q)
|
58% |
928
21.8 IPS |
