AZW GTR Pro
Geekbench AI Score
2623
Single Precision Score
2606
Half Precision Score
2159
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | decryp7 |
| Upload Date | October 18 2025 03:42 AM |
| Views | 4 |
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% |
1572
292.4 IPS |
|
|
Image Classification (HP)
|
100% |
1414
263.0 IPS |
|
|
Image Classification (Q)
|
99% |
1407
262.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2643
42.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2795
45.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1421
23.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3953
4.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
3858
4.50 IPS |
|
|
Pose Estimation (Q)
|
96% |
5224
6.12 IPS |
|
|
Object Detection (SP)
|
100% |
1995
158.3 IPS |
|
|
Object Detection (HP)
|
100% |
1949
154.6 IPS |
|
|
Object Detection (Q)
|
85% |
1741
140.2 IPS |
|
|
Face Detection (SP)
|
100% |
3334
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
3230
38.4 IPS |
|
|
Face Detection (Q)
|
97% |
3109
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2974
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2912
22.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2591
24.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5071
6.52 IPS |
|
|
Style Transfer (HP)
|
100% |
5160
6.63 IPS |
|
|
Style Transfer (Q)
|
98% |
8727
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1915
70.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1883
69.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2529
93.7 IPS |
|
|
Text Classification (SP)
|
100% |
1509
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
1573
2.10 KIPS |
|
|
Text Classification (Q)
|
92% |
927
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3245
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3393
58.4 IPS |
|
|
Machine Translation (Q)
|
58% |
735
17.3 IPS |
