AZW GTR Pro
Geekbench AI Score
1984
Single Precision Score
1950
Half Precision Score
1428
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | decryp7 |
| Upload Date | October 13 2025 12:22 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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 | 3.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1193
221.9 IPS |
|
|
Image Classification (HP)
|
100% |
1160
215.8 IPS |
|
|
Image Classification (Q)
|
99% |
1103
205.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2037
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1901
30.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
883
14.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2967
3.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2916
3.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
3449
4.04 IPS |
|
|
Object Detection (SP)
|
100% |
1345
106.7 IPS |
|
|
Object Detection (HP)
|
100% |
1276
101.2 IPS |
|
|
Object Detection (Q)
|
85% |
1135
91.4 IPS |
|
|
Face Detection (SP)
|
100% |
2443
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
2609
31.0 IPS |
|
|
Face Detection (Q)
|
97% |
2132
25.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2326
17.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2332
18.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1717
16.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4303
5.53 IPS |
|
|
Style Transfer (HP)
|
100% |
4374
5.62 IPS |
|
|
Style Transfer (Q)
|
98% |
5821
7.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1458
53.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1309
48.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1509
55.9 IPS |
|
|
Text Classification (SP)
|
100% |
1151
1.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1160
1.55 KIPS |
|
|
Text Classification (Q)
|
92% |
607
815.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2377
41.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2404
41.4 IPS |
|
|
Machine Translation (Q)
|
58% |
474
11.1 IPS |
