Google brya
Geekbench AI Score
146
Single Precision Score
146
Half Precision Score
78
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 13 2025 02:11 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | placeholder |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Google brya |
| Model ID | Google brya |
| Motherboard | marasov |
| 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% |
79
14.8 IPS |
|
|
Image Classification (HP)
|
100% |
80
14.9 IPS |
|
|
Image Classification (Q)
|
99% |
41
7.63 IPS |
|
|
Image Segmentation (SP)
|
100% |
104
1.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
101
1.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
46
0.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
130
0.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
130
0.15 IPS |
|
|
Pose Estimation (Q)
|
98% |
100
0.12 IPS |
|
|
Object Detection (SP)
|
100% |
74
5.84 IPS |
|
|
Object Detection (HP)
|
100% |
71
5.65 IPS |
|
|
Object Detection (Q)
|
87% |
39
3.11 IPS |
|
|
Face Detection (SP)
|
100% |
203
2.42 IPS |
|
|
Face Detection (HP)
|
100% |
212
2.52 IPS |
|
|
Face Detection (Q)
|
97% |
79
0.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
169
1.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
171
1.32 IPS |
|
|
Depth Estimation (Q)
|
64% |
128
1.16 IPS |
|
|
Style Transfer (SP)
|
100% |
407
0.52 IPS |
|
|
Style Transfer (HP)
|
100% |
406
0.52 IPS |
|
|
Style Transfer (Q)
|
98% |
363
0.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
112
4.13 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
114
4.20 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
76
2.80 IPS |
|
|
Text Classification (SP)
|
100% |
150
199.9 IPS |
|
|
Text Classification (HP)
|
100% |
152
203.4 IPS |
|
|
Text Classification (Q)
|
91% |
64
85.9 IPS |
|
|
Machine Translation (SP)
|
100% |
244
4.21 IPS |
|
|
Machine Translation (HP)
|
100% |
242
4.18 IPS |
|
|
Machine Translation (Q)
|
57% |
71
1.73 IPS |
