Google brya
Geekbench AI Score
178
Single Precision Score
178
Half Precision Score
102
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 11 2025 08:10 PM |
| Views | 3 |
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 | xol |
| 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% |
113
21.1 IPS |
|
|
Image Classification (HP)
|
100% |
114
21.1 IPS |
|
|
Image Classification (Q)
|
99% |
64
11.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
143
2.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
144
2.33 IPS |
|
|
Image Segmentation (Q)
|
98% |
72
1.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
185
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
174
0.20 IPS |
|
|
Pose Estimation (Q)
|
98% |
158
0.18 IPS |
|
|
Object Detection (SP)
|
100% |
103
8.16 IPS |
|
|
Object Detection (HP)
|
100% |
108
8.53 IPS |
|
|
Object Detection (Q)
|
87% |
65
5.23 IPS |
|
|
Face Detection (SP)
|
100% |
305
3.62 IPS |
|
|
Face Detection (HP)
|
100% |
309
3.67 IPS |
|
|
Face Detection (Q)
|
97% |
124
1.48 IPS |
|
|
Depth Estimation (SP)
|
100% |
238
1.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
240
1.85 IPS |
|
|
Depth Estimation (Q)
|
64% |
152
1.38 IPS |
|
|
Style Transfer (SP)
|
100% |
423
0.54 IPS |
|
|
Style Transfer (HP)
|
100% |
419
0.54 IPS |
|
|
Style Transfer (Q)
|
98% |
399
0.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
111
4.12 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
107
3.96 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
81
3.01 IPS |
|
|
Text Classification (SP)
|
100% |
139
185.6 IPS |
|
|
Text Classification (HP)
|
100% |
134
178.4 IPS |
|
|
Text Classification (Q)
|
91% |
60
80.0 IPS |
|
|
Machine Translation (SP)
|
100% |
231
3.98 IPS |
|
|
Machine Translation (HP)
|
100% |
238
4.10 IPS |
|
|
Machine Translation (Q)
|
57% |
76
1.85 IPS |
