AZW GTR Pro
Geekbench AI Score
2482
Single Precision Score
793
Half Precision Score
5774
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | decryp7 |
| Upload Date | October 18 2025 03:49 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
792
147.2 IPS |
|
|
Image Classification (HP)
|
100% |
133
24.7 IPS |
|
|
Image Classification (Q)
|
97% |
4355
812.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1863
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
215
3.49 IPS |
|
|
Image Segmentation (Q)
|
99% |
3306
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6956
8.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
5596
6.53 IPS |
|
|
Pose Estimation (Q)
|
94% |
25876
30.3 IPS |
|
|
Object Detection (SP)
|
100% |
1342
106.4 IPS |
|
|
Object Detection (HP)
|
100% |
273
21.6 IPS |
|
|
Object Detection (Q)
|
86% |
6299
506.3 IPS |
|
|
Face Detection (SP)
|
100% |
2186
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
302
3.59 IPS |
|
|
Face Detection (Q)
|
97% |
6591
78.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3263
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
907
6.99 IPS |
|
|
Depth Estimation (Q)
|
78% |
7388
59.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12866
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10034
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
19294
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1370
50.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2926
108.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2388
88.4 IPS |
|
|
Text Classification (SP)
|
100% |
2089
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
651
869.1 IPS |
|
|
Text Classification (Q)
|
97% |
1752
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2454
42.3 IPS |
|
|
Machine Translation (HP)
|
100% |
430
7.41 IPS |
|
|
Machine Translation (Q)
|
65% |
4469
89.8 IPS |
