AZW GTR Pro
Geekbench AI Score
2332
Single Precision Score
2260
Half Precision Score
1880
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | decryp7 |
| Upload Date | September 24 2025 06:55 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 | 5.19 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1621
301.4 IPS |
|
|
Image Classification (HP)
|
100% |
1486
276.3 IPS |
|
|
Image Classification (Q)
|
99% |
1468
273.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2550
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2556
41.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1382
22.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3675
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
3862
4.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
4955
5.81 IPS |
|
|
Object Detection (SP)
|
100% |
1674
132.8 IPS |
|
|
Object Detection (HP)
|
100% |
1723
136.7 IPS |
|
|
Object Detection (Q)
|
85% |
1808
145.6 IPS |
|
|
Face Detection (SP)
|
100% |
3103
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
3166
37.6 IPS |
|
|
Face Detection (Q)
|
97% |
2932
35.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2850
22.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2832
21.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
2732
25.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4964
6.38 IPS |
|
|
Style Transfer (HP)
|
100% |
4064
5.22 IPS |
|
|
Style Transfer (Q)
|
98% |
6565
8.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1596
58.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1641
60.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1647
61.0 IPS |
|
|
Text Classification (SP)
|
100% |
1170
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
1096
1.46 KIPS |
|
|
Text Classification (Q)
|
92% |
608
817.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2283
39.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2106
36.3 IPS |
|
|
Machine Translation (Q)
|
58% |
579
13.6 IPS |
