AZW GTR Pro
Geekbench AI Score
4383
Single Precision Score
1055
Half Precision Score
9681
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | hitch22 |
| Upload Date | March 15 2026 11:44 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | openSUSE Tumbleweed |
| 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 | 124.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1926
358.1 IPS |
|
|
Image Classification (HP)
|
100% |
177
33.0 IPS |
|
|
Image Classification (Q)
|
97% |
8876
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1060
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
350
5.68 IPS |
|
|
Image Segmentation (Q)
|
99% |
3302
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
21413
25.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10111
11.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
65561
76.9 IPS |
|
|
Object Detection (SP)
|
100% |
2285
181.3 IPS |
|
|
Object Detection (HP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (Q)
|
86% |
11563
929.3 IPS |
|
|
Face Detection (SP)
|
100% |
3530
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
348
4.14 IPS |
|
|
Face Detection (Q)
|
97% |
17757
211.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9813
75.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
995
7.67 IPS |
|
|
Depth Estimation (Q)
|
78% |
10633
84.8 IPS |
|
|
Style Transfer (SP)
|
100% |
34342
44.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25086
32.2 IPS |
|
|
Style Transfer (Q)
|
98% |
40611
52.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3402
125.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3000
110.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4943
183.0 IPS |
|
|
Text Classification (SP)
|
100% |
2334
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
703
938.2 IPS |
|
|
Text Classification (Q)
|
97% |
1911
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2775
47.8 IPS |
|
|
Machine Translation (HP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4498
90.4 IPS |
