AZW GTR Pro
Geekbench AI Score
12605
Single Precision Score
12788
Half Precision Score
31395
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 09 2025 01:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.10 |
| 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 | 30.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6561
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
6883
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
16336
3.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8759
142.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8792
142.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
26162
424.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
25091
29.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
25273
29.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
95111
111.3 IPS |
|
|
Object Detection (SP)
|
100% |
7730
613.2 IPS |
|
|
Object Detection (HP)
|
100% |
8040
637.7 IPS |
|
|
Object Detection (Q)
|
88% |
18902
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
17372
206.4 IPS |
|
|
Face Detection (HP)
|
100% |
18587
220.9 IPS |
|
|
Face Detection (Q)
|
100% |
55748
662.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
22802
175.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22561
173.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
60727
472.6 IPS |
|
|
Style Transfer (SP)
|
100% |
55961
71.9 IPS |
|
|
Style Transfer (HP)
|
100% |
60790
78.1 IPS |
|
|
Style Transfer (Q)
|
98% |
223723
288.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12195
450.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11356
419.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35167
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
4338
5.79 KIPS |
|
|
Text Classification (HP)
|
100% |
4270
5.70 KIPS |
|
|
Text Classification (Q)
|
92% |
5210
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
7748
133.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7698
132.6 IPS |
|
|
Machine Translation (Q)
|
100% |
8727
150.3 IPS |
