Google Pixel 6a
Geekbench AI Score
946
Single Precision Score
1258
Half Precision Score
1063
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | androooooid8114471 |
| Upload Date | July 12 2025 11:53 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
436
81.0 IPS |
|
|
Image Classification (HP)
|
100% |
505
93.9 IPS |
|
|
Image Classification (Q)
|
97% |
502
93.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1384
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1850
30.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1761
28.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5742
6.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
9861
11.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
9764
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
343
27.2 IPS |
|
|
Object Detection (HP)
|
99% |
520
41.3 IPS |
|
|
Object Detection (Q)
|
83% |
498
40.2 IPS |
|
|
Face Detection (SP)
|
100% |
1808
21.5 IPS |
|
|
Face Detection (HP)
|
100% |
2715
32.3 IPS |
|
|
Face Detection (Q)
|
96% |
2367
28.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3083
23.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
4174
32.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
3766
35.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9647
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19031
24.5 IPS |
|
|
Style Transfer (Q)
|
98% |
18877
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1205
44.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1986
73.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1940
71.9 IPS |
|
|
Text Classification (SP)
|
35% |
28
252.5 IPS |
|
|
Text Classification (HP)
|
29% |
19
332.8 IPS |
|
|
Text Classification (Q)
|
29% |
21
354.4 IPS |
|
|
Machine Translation (SP)
|
100% |
267
4.59 IPS |
|
|
Machine Translation (HP)
|
100% |
255
4.39 IPS |
|
|
Machine Translation (Q)
|
43% |
63
3.64 IPS |
