AZW GTR Pro
Geekbench AI Score
2986
Single Precision Score
780
Half Precision Score
6011
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | decryp7 |
| Upload Date | October 11 2025 01:42 PM |
| Views | 2 |
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% |
1700
316.2 IPS |
|
|
Image Classification (HP)
|
100% |
171
31.8 IPS |
|
|
Image Classification (Q)
|
97% |
3668
684.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1771
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
309
5.01 IPS |
|
|
Image Segmentation (Q)
|
99% |
2778
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12266
14.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
5678
6.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
29873
35.0 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.7 IPS |
|
|
Object Detection (HP)
|
100% |
194
15.4 IPS |
|
|
Object Detection (Q)
|
86% |
7667
616.2 IPS |
|
|
Face Detection (SP)
|
100% |
2860
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
346
4.12 IPS |
|
|
Face Detection (Q)
|
97% |
12205
145.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5558
42.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
873
6.72 IPS |
|
|
Depth Estimation (Q)
|
78% |
5357
42.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10833
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8555
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
22137
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1728
63.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2555
94.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3918
145.1 IPS |
|
|
Text Classification (SP)
|
100% |
1737
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
496
662.6 IPS |
|
|
Text Classification (Q)
|
97% |
1730
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1896
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
440
7.58 IPS |
|
|
Machine Translation (Q)
|
65% |
2690
54.0 IPS |
