Google Pixel 6a
Geekbench AI Score
470
Single Precision Score
610
Half Precision Score
572
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Puffin |
| Upload Date | January 26 2025 11:50 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 5.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
264
49.0 IPS |
|
|
Image Classification (HP)
|
100% |
444
82.6 IPS |
|
|
Image Classification (Q)
|
99% |
364
67.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
671
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
998
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
919
14.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
341
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
431
0.50 IPS |
|
|
Pose Estimation (Q)
|
96% |
403
0.47 IPS |
|
|
Object Detection (SP)
|
100% |
334
26.5 IPS |
|
|
Object Detection (HP)
|
100% |
457
36.3 IPS |
|
|
Object Detection (Q)
|
83% |
395
31.9 IPS |
|
|
Face Detection (SP)
|
100% |
1298
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
1720
20.4 IPS |
|
|
Face Detection (Q)
|
97% |
1893
22.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
523
4.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
625
4.82 IPS |
|
|
Depth Estimation (Q)
|
62% |
512
4.85 IPS |
|
|
Style Transfer (SP)
|
100% |
1435
1.84 IPS |
|
|
Style Transfer (HP)
|
100% |
2303
2.96 IPS |
|
|
Style Transfer (Q)
|
98% |
1853
2.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
299
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
377
13.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
372
13.8 IPS |
|
|
Text Classification (SP)
|
100% |
247
330.3 IPS |
|
|
Text Classification (HP)
|
100% |
250
333.1 IPS |
|
|
Text Classification (Q)
|
91% |
455
611.4 IPS |
|
|
Machine Translation (SP)
|
100% |
366
6.31 IPS |
|
|
Machine Translation (HP)
|
100% |
352
6.06 IPS |
|
|
Machine Translation (Q)
|
57% |
235
5.74 IPS |
