Google Pixel 6a
Geekbench AI Score
849
Single Precision Score
1196
Half Precision Score
1003
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 15 2025 11:56 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% |
358
66.5 IPS |
|
|
Image Classification (HP)
|
100% |
521
96.9 IPS |
|
|
Image Classification (Q)
|
97% |
496
92.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1286
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2022
32.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1858
30.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5728
6.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
9851
11.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
9785
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
366
29.0 IPS |
|
|
Object Detection (HP)
|
99% |
493
39.1 IPS |
|
|
Object Detection (Q)
|
83% |
487
39.3 IPS |
|
|
Face Detection (SP)
|
100% |
1760
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
2543
30.2 IPS |
|
|
Face Detection (Q)
|
96% |
2280
27.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2971
22.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
4211
32.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
3433
32.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9589
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
18397
23.6 IPS |
|
|
Style Transfer (Q)
|
98% |
18561
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1189
43.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1958
72.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1987
73.7 IPS |
|
|
Text Classification (SP)
|
35% |
15
137.3 IPS |
|
|
Text Classification (HP)
|
29% |
13
216.2 IPS |
|
|
Text Classification (Q)
|
29% |
12
203.5 IPS |
|
|
Machine Translation (SP)
|
100% |
228
3.93 IPS |
|
|
Machine Translation (HP)
|
100% |
235
4.05 IPS |
|
|
Machine Translation (Q)
|
43% |
68
3.95 IPS |
