AZW GTR Pro
Geekbench AI Score
5070
Single Precision Score
1202
Half Precision Score
10812
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | sudutmata |
| Upload Date | November 22 2025 01:58 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| 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 | 30.98 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1851
344.2 IPS |
|
|
Image Classification (HP)
|
100% |
204
37.9 IPS |
|
|
Image Classification (Q)
|
97% |
9212
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2245
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
400
6.48 IPS |
|
|
Image Segmentation (Q)
|
99% |
3461
56.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
22162
25.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10608
12.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
61957
72.6 IPS |
|
|
Object Detection (SP)
|
100% |
2398
190.2 IPS |
|
|
Object Detection (HP)
|
100% |
266
21.1 IPS |
|
|
Object Detection (Q)
|
86% |
11893
955.8 IPS |
|
|
Face Detection (SP)
|
100% |
3672
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
448
5.32 IPS |
|
|
Face Detection (Q)
|
97% |
17858
212.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11762
90.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1272
9.80 IPS |
|
|
Depth Estimation (Q)
|
78% |
19762
157.7 IPS |
|
|
Style Transfer (SP)
|
100% |
34024
43.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26590
34.2 IPS |
|
|
Style Transfer (Q)
|
98% |
59911
77.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3703
136.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3207
118.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5135
190.1 IPS |
|
|
Text Classification (SP)
|
100% |
3044
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
797
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1814
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3072
52.9 IPS |
|
|
Machine Translation (HP)
|
100% |
711
12.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4720
94.8 IPS |
