Google Pixel 6a
Geekbench AI Score
864
Single Precision Score
1283
Half Precision Score
953
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | gputhread |
| Upload Date | April 05 2026 10:44 AM |
| Views | 5 |
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 | 5.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
560
104.1 IPS |
|
|
Image Classification (HP)
|
100% |
1000
186.0 IPS |
|
|
Image Classification (Q)
|
97% |
513
95.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1303
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1942
31.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1662
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5650
6.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
9755
11.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9168
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
324
25.7 IPS |
|
|
Object Detection (HP)
|
99% |
492
39.0 IPS |
|
|
Object Detection (Q)
|
83% |
448
36.2 IPS |
|
|
Face Detection (SP)
|
100% |
1699
20.2 IPS |
|
|
Face Detection (HP)
|
100% |
2956
35.1 IPS |
|
|
Face Detection (Q)
|
96% |
2319
27.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2842
21.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
4291
33.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
3598
34.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10217
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18243
23.5 IPS |
|
|
Style Transfer (Q)
|
98% |
15695
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1083
40.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1951
72.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1976
73.2 IPS |
|
|
Text Classification (SP)
|
35% |
15
136.8 IPS |
|
|
Text Classification (HP)
|
29% |
12
200.3 IPS |
|
|
Text Classification (Q)
|
29% |
11
193.1 IPS |
|
|
Machine Translation (SP)
|
100% |
219
3.78 IPS |
|
|
Machine Translation (HP)
|
100% |
240
4.13 IPS |
|
|
Machine Translation (Q)
|
43% |
62
3.59 IPS |
