Google Pixel 6a
Geekbench AI Score
676
Single Precision Score
670
Half Precision Score
1132
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 18 2025 08:45 PM |
| Views | 1 |
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 | 5.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
406
75.4 IPS |
|
|
Image Classification (HP)
|
100% |
410
76.3 IPS |
|
|
Image Classification (Q)
|
100% |
1128
209.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
491
7.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
484
7.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
1272
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1725
2.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
1673
1.95 IPS |
|
|
Pose Estimation (Q)
|
84% |
1877
2.23 IPS |
|
|
Object Detection (SP)
|
100% |
292
23.1 IPS |
|
|
Object Detection (HP)
|
100% |
291
23.1 IPS |
|
|
Object Detection (Q)
|
83% |
699
56.5 IPS |
|
|
Face Detection (SP)
|
100% |
924
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
940
11.2 IPS |
|
|
Face Detection (Q)
|
95% |
1621
19.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1188
9.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
1185
9.13 IPS |
|
|
Depth Estimation (Q)
|
64% |
1709
15.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2108
2.74 IPS |
|
|
Style Transfer (HP)
|
89% |
1974
2.56 IPS |
|
|
Style Transfer (Q)
|
98% |
3874
5.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
602
22.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
605
22.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
949
35.2 IPS |
|
|
Text Classification (SP)
|
100% |
299
399.0 IPS |
|
|
Text Classification (HP)
|
100% |
296
395.5 IPS |
|
|
Text Classification (Q)
|
88% |
529
713.0 IPS |
|
|
Machine Translation (SP)
|
100% |
483
8.32 IPS |
|
|
Machine Translation (HP)
|
100% |
484
8.34 IPS |
|
|
Machine Translation (Q)
|
50% |
341
12.1 IPS |
