Google Pixel 6a
Geekbench AI Score
221
Single Precision Score
1357
Half Precision Score
4995
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 20 2025 07:30 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% |
148
27.5 IPS |
|
|
Image Classification (HP)
|
100% |
4286
797.1 IPS |
|
|
Image Classification (Q)
|
99% |
6943
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
190
3.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
3370
54.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9321
151.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
230
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
18806
21.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
44815
52.5 IPS |
|
|
Object Detection (SP)
|
100% |
125
9.89 IPS |
|
|
Object Detection (HP)
|
100% |
122
9.67 IPS |
|
|
Object Detection (Q)
|
87% |
394
31.6 IPS |
|
|
Face Detection (SP)
|
100% |
354
4.21 IPS |
|
|
Face Detection (HP)
|
100% |
9537
113.3 IPS |
|
|
Face Detection (Q)
|
97% |
18549
221.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
272
2.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
18523
142.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
26747
246.2 IPS |
|
|
Style Transfer (SP)
|
100% |
480
0.62 IPS |
|
|
Style Transfer (HP)
|
100% |
478
0.61 IPS |
|
|
Style Transfer (Q)
|
98% |
2859
3.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
131
4.84 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
131
4.83 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13179
488.3 IPS |
|
|
Text Classification (SP)
|
100% |
188
250.5 IPS |
|
|
Text Classification (HP)
|
100% |
189
252.9 IPS |
|
|
Text Classification (Q)
|
92% |
1600
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
303
5.23 IPS |
|
|
Machine Translation (HP)
|
100% |
306
5.27 IPS |
|
|
Machine Translation (Q)
|
57% |
283
6.92 IPS |
