Google brya
Geekbench AI Score
590
Single Precision Score
890
Half Precision Score
670
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 09 2025 01:53 AM |
| 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 | taeko |
| CPU Information | |
|---|---|
| Name | placeholder |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 78 architecture 8 variant 2 part 0 revision 1 |
| Base Frequency | 0 MHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 6.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
477
88.7 IPS |
|
|
Image Classification (HP)
|
100% |
718
133.6 IPS |
|
|
Image Classification (Q)
|
96% |
673
125.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
612
9.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
1020
16.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
727
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
803
0.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
1483
1.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
1444
1.69 IPS |
|
|
Object Detection (SP)
|
100% |
380
30.2 IPS |
|
|
Object Detection (HP)
|
100% |
572
45.4 IPS |
|
|
Object Detection (Q)
|
86% |
570
45.9 IPS |
|
|
Face Detection (SP)
|
100% |
1325
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
2105
25.0 IPS |
|
|
Face Detection (Q)
|
96% |
1691
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1002
7.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
1716
13.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
1409
13.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2562
3.29 IPS |
|
|
Style Transfer (HP)
|
100% |
4680
6.02 IPS |
|
|
Style Transfer (Q)
|
98% |
4533
5.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
500
18.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
874
32.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
796
29.5 IPS |
|
|
Text Classification (SP)
|
100% |
134
179.4 IPS |
|
|
Text Classification (HP)
|
100% |
134
179.5 IPS |
|
|
Text Classification (Q)
|
91% |
66
88.2 IPS |
|
|
Machine Translation (SP)
|
100% |
255
4.40 IPS |
|
|
Machine Translation (HP)
|
100% |
254
4.37 IPS |
|
|
Machine Translation (Q)
|
57% |
80
1.96 IPS |
