Google Pixel 6a
Geekbench AI Score
491
Single Precision Score
476
Half Precision Score
785
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 03:58 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% |
350
65.1 IPS |
|
|
Image Classification (HP)
|
100% |
274
50.9 IPS |
|
|
Image Classification (Q)
|
100% |
728
135.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
327
5.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
315
5.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
581
9.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
1017
1.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1014
1.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
1304
1.55 IPS |
|
|
Object Detection (SP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (Q)
|
83% |
515
41.6 IPS |
|
|
Face Detection (SP)
|
100% |
647
7.69 IPS |
|
|
Face Detection (HP)
|
100% |
647
7.69 IPS |
|
|
Face Detection (Q)
|
95% |
1155
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
845
6.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
844
6.51 IPS |
|
|
Depth Estimation (Q)
|
64% |
1182
10.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1554
2.02 IPS |
|
|
Style Transfer (HP)
|
89% |
1554
2.02 IPS |
|
|
Style Transfer (Q)
|
98% |
2972
3.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
476
17.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
474
17.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
731
27.1 IPS |
|
|
Text Classification (SP)
|
100% |
229
305.9 IPS |
|
|
Text Classification (HP)
|
100% |
229
306.3 IPS |
|
|
Text Classification (Q)
|
88% |
395
532.8 IPS |
|
|
Machine Translation (SP)
|
100% |
375
6.47 IPS |
|
|
Machine Translation (HP)
|
100% |
374
6.44 IPS |
|
|
Machine Translation (Q)
|
50% |
270
9.59 IPS |
