Google brya
Geekbench AI Score
174
Single Precision Score
173
Half Precision Score
100
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 21 2025 04:28 PM |
| Views | 4 |
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 | 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% |
108
20.1 IPS |
|
|
Image Classification (HP)
|
100% |
108
20.1 IPS |
|
|
Image Classification (Q)
|
99% |
61
11.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
137
2.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
137
2.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
69
1.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
171
0.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
171
0.20 IPS |
|
|
Pose Estimation (Q)
|
98% |
152
0.18 IPS |
|
|
Object Detection (SP)
|
100% |
101
8.00 IPS |
|
|
Object Detection (HP)
|
100% |
101
8.02 IPS |
|
|
Object Detection (Q)
|
87% |
62
4.98 IPS |
|
|
Face Detection (SP)
|
100% |
294
3.50 IPS |
|
|
Face Detection (HP)
|
100% |
296
3.52 IPS |
|
|
Face Detection (Q)
|
97% |
118
1.41 IPS |
|
|
Depth Estimation (SP)
|
100% |
233
1.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
231
1.78 IPS |
|
|
Depth Estimation (Q)
|
64% |
144
1.31 IPS |
|
|
Style Transfer (SP)
|
100% |
411
0.53 IPS |
|
|
Style Transfer (HP)
|
100% |
410
0.53 IPS |
|
|
Style Transfer (Q)
|
98% |
405
0.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
112
4.15 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
110
4.05 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
80
2.98 IPS |
|
|
Text Classification (SP)
|
100% |
132
176.7 IPS |
|
|
Text Classification (HP)
|
100% |
132
176.1 IPS |
|
|
Text Classification (Q)
|
91% |
64
85.6 IPS |
|
|
Machine Translation (SP)
|
100% |
246
4.24 IPS |
|
|
Machine Translation (HP)
|
100% |
243
4.19 IPS |
|
|
Machine Translation (Q)
|
57% |
77
1.89 IPS |
