Google Pixel 6a
Geekbench AI Score
868
Single Precision Score
1160
Half Precision Score
986
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 03:13 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% |
389
72.3 IPS |
|
|
Image Classification (HP)
|
100% |
519
96.5 IPS |
|
|
Image Classification (Q)
|
97% |
547
102.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1822
29.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1894
30.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5761
6.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
9815
11.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
9710
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
341
27.1 IPS |
|
|
Object Detection (HP)
|
99% |
459
36.4 IPS |
|
|
Object Detection (Q)
|
83% |
440
35.5 IPS |
|
|
Face Detection (SP)
|
100% |
1825
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
2527
30.0 IPS |
|
|
Face Detection (Q)
|
96% |
2248
26.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3004
23.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
4182
32.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
3617
34.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9635
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19066
24.5 IPS |
|
|
Style Transfer (Q)
|
98% |
18932
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1192
44.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1933
71.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1971
73.1 IPS |
|
|
Text Classification (SP)
|
35% |
17
156.3 IPS |
|
|
Text Classification (HP)
|
29% |
12
212.2 IPS |
|
|
Text Classification (Q)
|
29% |
10
178.6 IPS |
|
|
Machine Translation (SP)
|
100% |
228
3.92 IPS |
|
|
Machine Translation (HP)
|
100% |
222
3.82 IPS |
|
|
Machine Translation (Q)
|
43% |
65
3.79 IPS |
