Google Pixel 6a
Geekbench AI Score
704
Single Precision Score
1239
Half Precision Score
1247
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | gputhread |
| Upload Date | April 05 2026 10:40 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 5.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
428
79.6 IPS |
|
|
Image Classification (HP)
|
100% |
816
151.8 IPS |
|
|
Image Classification (Q)
|
99% |
1130
210.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
497
8.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
964
15.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1241
20.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1754
2.05 IPS |
|
|
Pose Estimation (HP)
|
92% |
3455
4.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
2321
2.72 IPS |
|
|
Object Detection (SP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (HP)
|
97% |
560
44.6 IPS |
|
|
Object Detection (Q)
|
85% |
698
56.3 IPS |
|
|
Face Detection (SP)
|
100% |
927
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
1635
19.4 IPS |
|
|
Face Detection (Q)
|
97% |
1596
19.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1187
9.14 IPS |
|
|
Depth Estimation (HP)
|
98% |
2266
17.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
1662
15.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2189
2.84 IPS |
|
|
Style Transfer (HP)
|
88% |
3398
4.41 IPS |
|
|
Style Transfer (Q)
|
98% |
4179
5.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
675
24.9 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1109
41.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1083
40.1 IPS |
|
|
Text Classification (SP)
|
100% |
338
451.7 IPS |
|
|
Text Classification (HP)
|
100% |
505
674.2 IPS |
|
|
Text Classification (Q)
|
93% |
575
772.0 IPS |
|
|
Machine Translation (SP)
|
100% |
531
9.14 IPS |
|
|
Machine Translation (HP)
|
96% |
797
13.8 IPS |
|
|
Machine Translation (Q)
|
55% |
581
15.6 IPS |
