Google brya
Geekbench AI Score
574
Single Precision Score
865
Half Precision Score
653
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 12:21 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 | omnigul |
| 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% |
469
87.2 IPS |
|
|
Image Classification (HP)
|
100% |
700
130.1 IPS |
|
|
Image Classification (Q)
|
96% |
664
124.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
568
9.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
915
14.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
679
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
797
0.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
1476
1.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
1432
1.68 IPS |
|
|
Object Detection (SP)
|
100% |
375
29.7 IPS |
|
|
Object Detection (HP)
|
100% |
564
44.8 IPS |
|
|
Object Detection (Q)
|
86% |
556
44.7 IPS |
|
|
Face Detection (SP)
|
100% |
1243
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
1994
23.7 IPS |
|
|
Face Detection (Q)
|
96% |
1585
18.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
975
7.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
1700
13.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
1387
12.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2517
3.24 IPS |
|
|
Style Transfer (HP)
|
100% |
4601
5.92 IPS |
|
|
Style Transfer (Q)
|
98% |
4443
5.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
490
18.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
867
32.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
790
29.3 IPS |
|
|
Text Classification (SP)
|
100% |
134
178.3 IPS |
|
|
Text Classification (HP)
|
100% |
133
177.5 IPS |
|
|
Text Classification (Q)
|
91% |
65
87.4 IPS |
|
|
Machine Translation (SP)
|
100% |
245
4.22 IPS |
|
|
Machine Translation (HP)
|
100% |
245
4.21 IPS |
|
|
Machine Translation (Q)
|
57% |
79
1.94 IPS |
