Google Pixel 6a
Geekbench AI Score
862
Single Precision Score
828
Half Precision Score
1429
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 05 2025 07:01 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
456
84.7 IPS |
|
|
Image Classification (HP)
|
100% |
432
80.4 IPS |
|
|
Image Classification (Q)
|
100% |
1194
222.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
539
8.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
532
8.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
1327
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1898
2.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1831
2.14 IPS |
|
|
Pose Estimation (Q)
|
84% |
2610
3.10 IPS |
|
|
Object Detection (SP)
|
100% |
405
32.1 IPS |
|
|
Object Detection (HP)
|
100% |
367
29.1 IPS |
|
|
Object Detection (Q)
|
83% |
896
72.4 IPS |
|
|
Face Detection (SP)
|
100% |
1159
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
1156
13.7 IPS |
|
|
Face Detection (Q)
|
95% |
2046
24.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1478
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1443
11.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2080
19.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2642
3.43 IPS |
|
|
Style Transfer (HP)
|
89% |
2643
3.43 IPS |
|
|
Style Transfer (Q)
|
98% |
5232
6.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
813
30.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
810
29.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1297
48.1 IPS |
|
|
Text Classification (SP)
|
100% |
431
574.7 IPS |
|
|
Text Classification (HP)
|
100% |
429
572.8 IPS |
|
|
Text Classification (Q)
|
88% |
743
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
762
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
642
11.1 IPS |
|
|
Machine Translation (Q)
|
50% |
447
15.9 IPS |
