AZW GTR Pro
Geekbench AI Score
1944
Single Precision Score
1897
Half Precision Score
1375
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | decryp7 |
| Upload Date | October 18 2025 06:34 AM |
| Views | 8 |
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% |
1220
226.9 IPS |
|
|
Image Classification (HP)
|
100% |
1040
193.4 IPS |
|
|
Image Classification (Q)
|
99% |
1001
186.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1918
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1877
30.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
901
14.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2927
3.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
2940
3.43 IPS |
|
|
Pose Estimation (Q)
|
96% |
3419
4.01 IPS |
|
|
Object Detection (SP)
|
100% |
1140
90.4 IPS |
|
|
Object Detection (HP)
|
100% |
1167
92.5 IPS |
|
|
Object Detection (Q)
|
85% |
1088
87.6 IPS |
|
|
Face Detection (SP)
|
100% |
2428
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
2494
29.6 IPS |
|
|
Face Detection (Q)
|
97% |
1985
23.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2382
18.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2280
17.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
1679
15.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4269
5.49 IPS |
|
|
Style Transfer (HP)
|
100% |
4323
5.56 IPS |
|
|
Style Transfer (Q)
|
98% |
5659
7.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1357
50.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1467
54.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1483
54.9 IPS |
|
|
Text Classification (SP)
|
100% |
1159
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1114
1.49 KIPS |
|
|
Text Classification (Q)
|
92% |
555
745.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2543
43.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2254
38.8 IPS |
|
|
Machine Translation (Q)
|
58% |
465
10.9 IPS |
