Google Pixel 6a
Geekbench AI Score
218
Single Precision Score
1364
Half Precision Score
5047
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | androooooid8114471 |
| Upload Date | July 12 2025 12:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 6a |
| Model ID | Google Pixel 6a |
| Motherboard | bluejay |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.25 GHz |
| Cluster 3 | 2 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 5.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
144
26.8 IPS |
|
|
Image Classification (HP)
|
100% |
4291
798.0 IPS |
|
|
Image Classification (Q)
|
99% |
6982
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
190
3.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
3347
54.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9164
149.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
227
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
18818
22.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
45097
52.8 IPS |
|
|
Object Detection (SP)
|
100% |
120
9.52 IPS |
|
|
Object Detection (HP)
|
100% |
122
9.70 IPS |
|
|
Object Detection (Q)
|
87% |
394
31.6 IPS |
|
|
Face Detection (SP)
|
100% |
346
4.11 IPS |
|
|
Face Detection (HP)
|
100% |
10050
119.4 IPS |
|
|
Face Detection (Q)
|
97% |
18671
222.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
276
2.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
19003
146.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
27082
249.3 IPS |
|
|
Style Transfer (SP)
|
100% |
476
0.61 IPS |
|
|
Style Transfer (HP)
|
100% |
470
0.60 IPS |
|
|
Style Transfer (Q)
|
98% |
2867
3.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
131
4.86 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
132
4.87 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13285
492.3 IPS |
|
|
Text Classification (SP)
|
100% |
182
242.9 IPS |
|
|
Text Classification (HP)
|
100% |
192
255.9 IPS |
|
|
Text Classification (Q)
|
92% |
1732
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
310
5.34 IPS |
|
|
Machine Translation (HP)
|
100% |
298
5.13 IPS |
|
|
Machine Translation (Q)
|
57% |
283
6.92 IPS |
