AZW GTR Pro
Geekbench AI Score
25236
Single Precision Score
34959
Half Precision Score
19641
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 02:42 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| 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 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12447
2.31 KIPS |
|
|
Image Classification (HP)
|
100% |
13774
2.56 KIPS |
|
|
Image Classification (Q)
|
100% |
11299
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21485
348.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16714
270.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
17437
283.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
125673
146.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
290638
339.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
102443
120.0 IPS |
|
|
Object Detection (SP)
|
100% |
7303
579.2 IPS |
|
|
Object Detection (HP)
|
100% |
13625
1.08 KIPS |
|
|
Object Detection (Q)
|
87% |
7010
563.0 IPS |
|
|
Face Detection (SP)
|
100% |
28710
341.1 IPS |
|
|
Face Detection (HP)
|
100% |
47738
567.2 IPS |
|
|
Face Detection (Q)
|
97% |
24881
296.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
54327
418.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
74384
573.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
44641
358.0 IPS |
|
|
Style Transfer (SP)
|
100% |
230048
295.7 IPS |
|
|
Style Transfer (HP)
|
100% |
421383
541.7 IPS |
|
|
Style Transfer (Q)
|
98% |
195233
251.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41828
1.54 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58004
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32452
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
4116
5.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4257
5.68 KIPS |
|
|
Text Classification (Q)
|
97% |
2779
3.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
6910
119.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8096
139.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3089
57.9 IPS |
