AZW GTR Pro
Geekbench AI Score
3343
Single Precision Score
815
Half Precision Score
7778
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | decryp7 |
| Upload Date | October 11 2025 02:14 PM |
| Views | 5 |
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% |
1659
308.5 IPS |
|
|
Image Classification (HP)
|
100% |
170
31.6 IPS |
|
|
Image Classification (Q)
|
97% |
7843
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1800
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
317
5.13 IPS |
|
|
Image Segmentation (Q)
|
99% |
2972
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11706
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
6410
7.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
45764
53.7 IPS |
|
|
Object Detection (SP)
|
100% |
1592
126.3 IPS |
|
|
Object Detection (HP)
|
100% |
181
14.4 IPS |
|
|
Object Detection (Q)
|
86% |
10304
828.1 IPS |
|
|
Face Detection (SP)
|
100% |
3108
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
323
3.84 IPS |
|
|
Face Detection (Q)
|
97% |
12687
151.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6022
46.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
868
6.69 IPS |
|
|
Depth Estimation (Q)
|
78% |
10283
82.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19366
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
14549
18.7 IPS |
|
|
Style Transfer (Q)
|
98% |
30607
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2442
90.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2268
83.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3287
121.7 IPS |
|
|
Text Classification (SP)
|
100% |
1618
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
474
632.3 IPS |
|
|
Text Classification (Q)
|
97% |
1560
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2189
37.7 IPS |
|
|
Machine Translation (HP)
|
100% |
475
8.18 IPS |
|
|
Machine Translation (Q)
|
65% |
3601
72.4 IPS |
