AZW GTR Pro
Geekbench AI Score
2856
Single Precision Score
2851
Half Precision Score
2468
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 09 2025 01:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.10 |
| 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 | 30.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1817
337.9 IPS |
|
|
Image Classification (HP)
|
100% |
1819
338.3 IPS |
|
|
Image Classification (Q)
|
99% |
1775
331.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3098
50.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2977
48.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1669
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4290
5.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
4390
5.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
6197
7.26 IPS |
|
|
Object Detection (SP)
|
100% |
2097
166.3 IPS |
|
|
Object Detection (HP)
|
100% |
2058
163.3 IPS |
|
|
Object Detection (Q)
|
85% |
2198
176.9 IPS |
|
|
Face Detection (SP)
|
100% |
3555
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
3589
42.6 IPS |
|
|
Face Detection (Q)
|
97% |
3636
43.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3134
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3076
23.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
3129
29.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5419
6.97 IPS |
|
|
Style Transfer (HP)
|
100% |
5494
7.06 IPS |
|
|
Style Transfer (Q)
|
98% |
9337
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1960
72.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1972
72.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2610
96.7 IPS |
|
|
Text Classification (SP)
|
100% |
1660
2.22 KIPS |
|
|
Text Classification (HP)
|
100% |
1634
2.18 KIPS |
|
|
Text Classification (Q)
|
92% |
956
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3639
62.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3714
64.0 IPS |
|
|
Machine Translation (Q)
|
58% |
784
18.4 IPS |
