Google brya
Geekbench AI Score
196
Single Precision Score
197
Half Precision Score
102
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 23 2024 09:46 AM |
| Views | 10 |
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 | felwinter |
| 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% |
112
20.8 IPS |
|
|
Image Classification (HP)
|
100% |
110
20.5 IPS |
|
|
Image Classification (Q)
|
99% |
60
11.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
143
2.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
142
2.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
68
1.11 IPS |
|
|
Pose Estimation (SP)
|
100% |
184
0.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
194
0.23 IPS |
|
|
Pose Estimation (Q)
|
98% |
153
0.18 IPS |
|
|
Object Detection (SP)
|
100% |
119
9.40 IPS |
|
|
Object Detection (HP)
|
100% |
119
9.43 IPS |
|
|
Object Detection (Q)
|
87% |
64
5.09 IPS |
|
|
Face Detection (SP)
|
100% |
342
4.07 IPS |
|
|
Face Detection (HP)
|
100% |
342
4.06 IPS |
|
|
Face Detection (Q)
|
97% |
123
1.46 IPS |
|
|
Depth Estimation (SP)
|
100% |
261
2.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
260
2.00 IPS |
|
|
Depth Estimation (Q)
|
64% |
144
1.30 IPS |
|
|
Style Transfer (SP)
|
100% |
465
0.60 IPS |
|
|
Style Transfer (HP)
|
100% |
475
0.61 IPS |
|
|
Style Transfer (Q)
|
98% |
415
0.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
132
4.86 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
131
4.84 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
83
3.08 IPS |
|
|
Text Classification (SP)
|
100% |
154
205.5 IPS |
|
|
Text Classification (HP)
|
100% |
154
205.3 IPS |
|
|
Text Classification (Q)
|
91% |
65
87.1 IPS |
|
|
Machine Translation (SP)
|
100% |
290
5.00 IPS |
|
|
Machine Translation (HP)
|
100% |
290
5.00 IPS |
|
|
Machine Translation (Q)
|
57% |
80
1.96 IPS |
