AZW GTR Pro
Geekbench AI Score
1937
Single Precision Score
1925
Half Precision Score
1357
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | decryp7 |
| Upload Date | October 10 2025 03:21 AM |
| 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 | 3.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1077
200.2 IPS |
|
|
Image Classification (HP)
|
100% |
1048
194.9 IPS |
|
|
Image Classification (Q)
|
99% |
998
186.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1824
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1887
30.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
873
14.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2939
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
2893
3.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
3168
3.71 IPS |
|
|
Object Detection (SP)
|
100% |
1197
94.9 IPS |
|
|
Object Detection (HP)
|
100% |
1233
97.8 IPS |
|
|
Object Detection (Q)
|
85% |
1088
87.5 IPS |
|
|
Face Detection (SP)
|
100% |
2586
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
2573
30.6 IPS |
|
|
Face Detection (Q)
|
97% |
2087
24.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2324
17.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2316
17.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
1670
15.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4230
5.44 IPS |
|
|
Style Transfer (HP)
|
100% |
4215
5.42 IPS |
|
|
Style Transfer (Q)
|
98% |
5605
7.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1350
49.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1377
50.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1496
55.4 IPS |
|
|
Text Classification (SP)
|
100% |
1209
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1194
1.59 KIPS |
|
|
Text Classification (Q)
|
92% |
491
659.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2594
44.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2399
41.3 IPS |
|
|
Machine Translation (Q)
|
58% |
494
11.6 IPS |
