Google Pixel 6a
Geekbench AI Score
192
Single Precision Score
1146
Half Precision Score
4166
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | dmitrychou |
| Upload Date | October 05 2025 09:07 PM |
| Views | 8 |
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% |
4261
792.4 IPS |
|
|
Image Classification (Q)
|
99% |
7011
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
181
2.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
3442
55.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9112
148.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
198
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
16139
18.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
39026
45.7 IPS |
|
|
Object Detection (SP)
|
100% |
113
8.96 IPS |
|
|
Object Detection (HP)
|
100% |
73
5.82 IPS |
|
|
Object Detection (Q)
|
87% |
229
18.3 IPS |
|
|
Face Detection (SP)
|
100% |
214
2.54 IPS |
|
|
Face Detection (HP)
|
100% |
8015
95.2 IPS |
|
|
Face Detection (Q)
|
97% |
13307
158.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
252
1.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
16379
126.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
22816
210.0 IPS |
|
|
Style Transfer (SP)
|
100% |
425
0.55 IPS |
|
|
Style Transfer (HP)
|
100% |
406
0.52 IPS |
|
|
Style Transfer (Q)
|
98% |
2493
3.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
116
4.27 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
113
4.19 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11109
411.6 IPS |
|
|
Text Classification (SP)
|
100% |
158
210.7 IPS |
|
|
Text Classification (HP)
|
100% |
160
213.1 IPS |
|
|
Text Classification (Q)
|
92% |
1573
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
285
4.91 IPS |
|
|
Machine Translation (HP)
|
100% |
236
4.07 IPS |
|
|
Machine Translation (Q)
|
57% |
209
5.10 IPS |
