Google brya
Geekbench AI Score
664
Single Precision Score
1000
Half Precision Score
729
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 21 2025 02:59 PM |
| Views | 1 |
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% |
532
98.9 IPS |
|
|
Image Classification (HP)
|
100% |
836
155.5 IPS |
|
|
Image Classification (Q)
|
96% |
736
137.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1048
17.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
641
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1006
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1840
2.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
1782
2.09 IPS |
|
|
Object Detection (SP)
|
100% |
446
35.3 IPS |
|
|
Object Detection (HP)
|
100% |
670
53.2 IPS |
|
|
Object Detection (Q)
|
86% |
658
52.9 IPS |
|
|
Face Detection (SP)
|
100% |
1429
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
2253
26.8 IPS |
|
|
Face Detection (Q)
|
96% |
1813
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1147
8.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
2002
15.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
1624
15.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3153
4.05 IPS |
|
|
Style Transfer (HP)
|
100% |
5785
7.44 IPS |
|
|
Style Transfer (Q)
|
98% |
5511
7.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
596
22.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1023
37.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
906
33.6 IPS |
|
|
Text Classification (SP)
|
100% |
139
185.1 IPS |
|
|
Text Classification (HP)
|
100% |
139
185.3 IPS |
|
|
Text Classification (Q)
|
91% |
66
89.1 IPS |
|
|
Machine Translation (SP)
|
100% |
252
4.34 IPS |
|
|
Machine Translation (HP)
|
100% |
250
4.30 IPS |
|
|
Machine Translation (Q)
|
57% |
80
1.95 IPS |
