Google brya
Geekbench AI Score
665
Single Precision Score
1001
Half Precision Score
745
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 21 2025 02:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | placeholder |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Google brya |
| Model ID | Google brya |
| Motherboard | dochi |
| CPU Information | |
|---|---|
| Name | placeholder |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARM implementer 78 architecture 8 variant 2 part 0 revision 1 |
| Base Frequency | 0 MHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 6.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
537
99.8 IPS |
|
|
Image Classification (HP)
|
100% |
837
155.7 IPS |
|
|
Image Classification (Q)
|
96% |
780
145.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
652
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1027
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
753
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1004
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1839
2.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
1783
2.09 IPS |
|
|
Object Detection (SP)
|
100% |
442
35.0 IPS |
|
|
Object Detection (HP)
|
100% |
669
53.1 IPS |
|
|
Object Detection (Q)
|
86% |
658
52.9 IPS |
|
|
Face Detection (SP)
|
100% |
1424
16.9 IPS |
|
|
Face Detection (HP)
|
100% |
2309
27.4 IPS |
|
|
Face Detection (Q)
|
96% |
1810
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1149
8.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
2004
15.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
1612
15.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3183
4.09 IPS |
|
|
Style Transfer (HP)
|
100% |
5783
7.43 IPS |
|
|
Style Transfer (Q)
|
98% |
5519
7.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
599
22.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1017
37.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
904
33.5 IPS |
|
|
Text Classification (SP)
|
100% |
139
185.8 IPS |
|
|
Text Classification (HP)
|
100% |
140
186.2 IPS |
|
|
Text Classification (Q)
|
91% |
67
90.1 IPS |
|
|
Machine Translation (SP)
|
100% |
254
4.38 IPS |
|
|
Machine Translation (HP)
|
100% |
253
4.35 IPS |
|
|
Machine Translation (Q)
|
57% |
79
1.94 IPS |
