Google Pixel 6a
Geekbench AI Score
1001
Single Precision Score
1005
Half Precision Score
1843
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 18 2025 02:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
491
91.3 IPS |
|
|
Image Classification (HP)
|
100% |
504
93.8 IPS |
|
|
Image Classification (Q)
|
100% |
1367
254.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
590
9.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
579
9.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
1518
24.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2115
2.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
2074
2.42 IPS |
|
|
Pose Estimation (Q)
|
84% |
3056
3.62 IPS |
|
|
Object Detection (SP)
|
100% |
448
35.5 IPS |
|
|
Object Detection (HP)
|
100% |
445
35.3 IPS |
|
|
Object Detection (Q)
|
83% |
1213
98.0 IPS |
|
|
Face Detection (SP)
|
100% |
1366
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
1384
16.4 IPS |
|
|
Face Detection (Q)
|
95% |
2782
33.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1772
13.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1776
13.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
2763
25.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3206
4.16 IPS |
|
|
Style Transfer (HP)
|
89% |
3205
4.16 IPS |
|
|
Style Transfer (Q)
|
98% |
6585
8.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1026
37.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1027
37.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1767
65.5 IPS |
|
|
Text Classification (SP)
|
100% |
550
734.1 IPS |
|
|
Text Classification (HP)
|
100% |
592
790.8 IPS |
|
|
Text Classification (Q)
|
88% |
1080
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
843
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
815
14.0 IPS |
|
|
Machine Translation (Q)
|
50% |
611
21.7 IPS |
