Google Pixel 6a
Geekbench AI Score
830
Single Precision Score
808
Half Precision Score
1388
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 22 2025 12:22 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% |
456
84.9 IPS |
|
|
Image Classification (HP)
|
100% |
452
84.0 IPS |
|
|
Image Classification (Q)
|
100% |
1227
228.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
547
8.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
537
8.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
1357
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1894
2.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1700
1.98 IPS |
|
|
Pose Estimation (Q)
|
84% |
2467
2.93 IPS |
|
|
Object Detection (SP)
|
100% |
378
30.0 IPS |
|
|
Object Detection (HP)
|
100% |
385
30.5 IPS |
|
|
Object Detection (Q)
|
83% |
942
76.1 IPS |
|
|
Face Detection (SP)
|
100% |
1165
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
1140
13.5 IPS |
|
|
Face Detection (Q)
|
95% |
1861
22.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1453
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1349
10.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2083
19.1 IPS |
|
|
Style Transfer (SP)
|
89% |
2543
3.30 IPS |
|
|
Style Transfer (HP)
|
89% |
2400
3.12 IPS |
|
|
Style Transfer (Q)
|
98% |
4750
6.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
803
29.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
772
28.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1177
43.6 IPS |
|
|
Text Classification (SP)
|
100% |
378
504.2 IPS |
|
|
Text Classification (HP)
|
100% |
412
549.5 IPS |
|
|
Text Classification (Q)
|
88% |
713
961.7 IPS |
|
|
Machine Translation (SP)
|
100% |
669
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
643
11.1 IPS |
|
|
Machine Translation (Q)
|
50% |
444
15.8 IPS |
