AZW GTR Pro
Geekbench AI Score
2858
Single Precision Score
2842
Half Precision Score
2484
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 07 2025 12:11 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | CachyOS |
| 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% |
1719
319.6 IPS |
|
|
Image Classification (HP)
|
100% |
1750
325.4 IPS |
|
|
Image Classification (Q)
|
99% |
1844
344.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3168
51.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2921
47.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1699
27.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4349
5.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
4236
4.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
6199
7.26 IPS |
|
|
Object Detection (SP)
|
100% |
2169
172.0 IPS |
|
|
Object Detection (HP)
|
100% |
2149
170.4 IPS |
|
|
Object Detection (Q)
|
85% |
2158
173.7 IPS |
|
|
Face Detection (SP)
|
100% |
3484
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
3487
41.4 IPS |
|
|
Face Detection (Q)
|
97% |
3579
42.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3075
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3104
23.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
3088
29.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5433
6.98 IPS |
|
|
Style Transfer (HP)
|
100% |
5472
7.03 IPS |
|
|
Style Transfer (Q)
|
98% |
9640
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1986
73.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1976
73.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2610
96.7 IPS |
|
|
Text Classification (SP)
|
100% |
1619
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
1702
2.27 KIPS |
|
|
Text Classification (Q)
|
92% |
962
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3788
65.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3715
64.0 IPS |
|
|
Machine Translation (Q)
|
58% |
800
18.8 IPS |
