AZW GTR Pro
Geekbench AI Score
2472
Single Precision Score
2516
Half Precision Score
2114
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | decryp7 |
| Upload Date | October 11 2025 02:11 PM |
| Views | 5 |
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 | 5.19 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1622
301.7 IPS |
|
|
Image Classification (HP)
|
100% |
1567
291.4 IPS |
|
|
Image Classification (Q)
|
99% |
1633
304.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2736
44.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2787
45.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1501
24.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3698
4.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
3595
4.20 IPS |
|
|
Pose Estimation (Q)
|
96% |
4525
5.30 IPS |
|
|
Object Detection (SP)
|
100% |
1695
134.5 IPS |
|
|
Object Detection (HP)
|
100% |
1801
142.8 IPS |
|
|
Object Detection (Q)
|
85% |
1874
150.8 IPS |
|
|
Face Detection (SP)
|
100% |
3267
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
3236
38.4 IPS |
|
|
Face Detection (Q)
|
97% |
3251
38.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2903
22.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2940
22.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
2596
24.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4985
6.41 IPS |
|
|
Style Transfer (HP)
|
100% |
4912
6.31 IPS |
|
|
Style Transfer (Q)
|
98% |
7850
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1817
67.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1806
66.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2263
83.9 IPS |
|
|
Text Classification (SP)
|
100% |
1331
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
1302
1.74 KIPS |
|
|
Text Classification (Q)
|
92% |
766
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2689
46.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3281
56.5 IPS |
|
|
Machine Translation (Q)
|
58% |
750
17.6 IPS |
