Google Pixel 8a
Geekbench AI Score
1273
Single Precision Score
1272
Half Precision Score
1720
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | M91 |
| Upload Date | January 13 2026 07:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 8a |
| Model ID | Google Pixel 8a |
| Motherboard | akita |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores @ 1.70 GHz |
| Cluster 2 | 4 Cores @ 2.37 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 7.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1339
249.0 IPS |
|
|
Image Classification (HP)
|
100% |
1400
260.4 IPS |
|
|
Image Classification (Q)
|
100% |
1228
228.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1494
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1515
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2174
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2237
2.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
2098
2.45 IPS |
|
|
Pose Estimation (Q)
|
84% |
3929
4.66 IPS |
|
|
Object Detection (SP)
|
98% |
698
55.5 IPS |
|
|
Object Detection (HP)
|
98% |
667
53.1 IPS |
|
|
Object Detection (Q)
|
83% |
1018
82.2 IPS |
|
|
Face Detection (SP)
|
100% |
1572
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
1611
19.1 IPS |
|
|
Face Detection (Q)
|
95% |
2296
27.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1892
14.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2042
15.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3330
30.5 IPS |
|
|
Style Transfer (SP)
|
89% |
5041
6.54 IPS |
|
|
Style Transfer (HP)
|
89% |
4992
6.48 IPS |
|
|
Style Transfer (Q)
|
98% |
8967
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
889
32.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
781
28.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1692
62.7 IPS |
|
|
Text Classification (SP)
|
100% |
288
383.7 IPS |
|
|
Text Classification (HP)
|
99% |
307
410.0 IPS |
|
|
Text Classification (Q)
|
88% |
391
527.1 IPS |
|
|
Machine Translation (SP)
|
100% |
933
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
950
16.4 IPS |
|
|
Machine Translation (Q)
|
50% |
468
16.6 IPS |
