Google Pixel 6a
Geekbench AI Score
656
Single Precision Score
655
Half Precision Score
1118
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 06 2025 07:32 AM |
| 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% |
348
64.8 IPS |
|
|
Image Classification (HP)
|
100% |
354
65.9 IPS |
|
|
Image Classification (Q)
|
100% |
982
182.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
451
7.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
452
7.33 IPS |
|
|
Image Segmentation (Q)
|
98% |
1228
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1672
1.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
1652
1.93 IPS |
|
|
Pose Estimation (Q)
|
84% |
1868
2.22 IPS |
|
|
Object Detection (SP)
|
100% |
283
22.4 IPS |
|
|
Object Detection (HP)
|
100% |
291
23.1 IPS |
|
|
Object Detection (Q)
|
83% |
741
59.9 IPS |
|
|
Face Detection (SP)
|
100% |
920
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
934
11.1 IPS |
|
|
Face Detection (Q)
|
95% |
1677
20.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1190
9.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
1186
9.14 IPS |
|
|
Depth Estimation (Q)
|
64% |
1708
15.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2159
2.80 IPS |
|
|
Style Transfer (HP)
|
89% |
1972
2.56 IPS |
|
|
Style Transfer (Q)
|
98% |
3748
4.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
605
22.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
603
22.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
950
35.2 IPS |
|
|
Text Classification (SP)
|
100% |
290
387.4 IPS |
|
|
Text Classification (HP)
|
100% |
299
398.5 IPS |
|
|
Text Classification (Q)
|
88% |
515
695.1 IPS |
|
|
Machine Translation (SP)
|
100% |
480
8.28 IPS |
|
|
Machine Translation (HP)
|
100% |
483
8.32 IPS |
|
|
Machine Translation (Q)
|
50% |
348
12.4 IPS |
