Google Pixel 6a
Geekbench AI Score
640
Single Precision Score
633
Half Precision Score
1093
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 17 2025 02:14 PM |
| Views | 8 |
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% |
338
62.9 IPS |
|
|
Image Classification (HP)
|
100% |
368
68.5 IPS |
|
|
Image Classification (Q)
|
100% |
1051
195.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
444
7.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
432
7.01 IPS |
|
|
Image Segmentation (Q)
|
98% |
1212
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1636
1.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
1349
1.57 IPS |
|
|
Pose Estimation (Q)
|
84% |
1855
2.20 IPS |
|
|
Object Detection (SP)
|
100% |
293
23.3 IPS |
|
|
Object Detection (HP)
|
100% |
292
23.1 IPS |
|
|
Object Detection (Q)
|
83% |
691
55.8 IPS |
|
|
Face Detection (SP)
|
100% |
926
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
899
10.7 IPS |
|
|
Face Detection (Q)
|
95% |
1664
19.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1104
8.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
1127
8.68 IPS |
|
|
Depth Estimation (Q)
|
64% |
1530
14.0 IPS |
|
|
Style Transfer (SP)
|
89% |
1969
2.56 IPS |
|
|
Style Transfer (HP)
|
89% |
1959
2.54 IPS |
|
|
Style Transfer (Q)
|
98% |
3826
4.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
560
20.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
600
22.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
946
35.0 IPS |
|
|
Text Classification (SP)
|
100% |
298
398.4 IPS |
|
|
Text Classification (HP)
|
100% |
295
393.1 IPS |
|
|
Text Classification (Q)
|
88% |
478
644.1 IPS |
|
|
Machine Translation (SP)
|
100% |
479
8.26 IPS |
|
|
Machine Translation (HP)
|
100% |
473
8.14 IPS |
|
|
Machine Translation (Q)
|
50% |
339
12.0 IPS |
