AZW GTR Pro
Geekbench AI Score
1343
Single Precision Score
443
Half Precision Score
3260
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | decryp7 |
| Upload Date | October 18 2025 06:47 AM |
| 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 | 3.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
469
87.2 IPS |
|
|
Image Classification (HP)
|
100% |
77
14.3 IPS |
|
|
Image Classification (Q)
|
97% |
1898
354.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
596
9.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
143
2.31 IPS |
|
|
Image Segmentation (Q)
|
99% |
1214
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3547
4.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
2859
3.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
14150
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
691
54.8 IPS |
|
|
Object Detection (HP)
|
100% |
104
8.28 IPS |
|
|
Object Detection (Q)
|
86% |
2092
168.1 IPS |
|
|
Face Detection (SP)
|
100% |
1138
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
158
1.87 IPS |
|
|
Face Detection (Q)
|
97% |
4879
58.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2999
23.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
616
4.75 IPS |
|
|
Depth Estimation (Q)
|
78% |
10712
85.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6599
8.48 IPS |
|
|
Style Transfer (HP)
|
100% |
5582
7.18 IPS |
|
|
Style Transfer (Q)
|
98% |
12059
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
997
36.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2173
80.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1734
64.2 IPS |
|
|
Text Classification (SP)
|
100% |
1089
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
318
423.9 IPS |
|
|
Text Classification (Q)
|
97% |
1258
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1140
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
238
4.10 IPS |
|
|
Machine Translation (Q)
|
65% |
1449
29.1 IPS |
