AZW GTR Pro
Geekbench AI Score
12907
Single Precision Score
12840
Half Precision Score
32048
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | sudutmata |
| Upload Date | November 22 2025 01:55 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| 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% |
6539
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
6846
1.27 KIPS |
|
|
Image Classification (Q)
|
100% |
16824
3.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8821
143.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8796
142.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25821
418.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
25631
29.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
25860
30.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
104754
122.6 IPS |
|
|
Object Detection (SP)
|
100% |
7921
628.3 IPS |
|
|
Object Detection (HP)
|
100% |
8205
650.8 IPS |
|
|
Object Detection (Q)
|
88% |
19821
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
17962
213.4 IPS |
|
|
Face Detection (HP)
|
100% |
17256
205.0 IPS |
|
|
Face Detection (Q)
|
100% |
56300
669.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
23223
178.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22553
173.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
61024
474.9 IPS |
|
|
Style Transfer (SP)
|
100% |
66009
84.9 IPS |
|
|
Style Transfer (HP)
|
100% |
64485
82.9 IPS |
|
|
Style Transfer (Q)
|
98% |
250733
323.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12640
466.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12754
470.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35794
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
4186
5.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4085
5.45 KIPS |
|
|
Text Classification (Q)
|
92% |
4746
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
7522
129.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7293
125.6 IPS |
|
|
Machine Translation (Q)
|
100% |
8659
149.1 IPS |
