Google Pixel 8a
Geekbench AI Score
351
Single Precision Score
4285
Half Precision Score
7144
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | M91 |
| Upload Date | January 13 2026 02:24 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
238
44.3 IPS |
|
|
Image Classification (HP)
|
100% |
5618
1.04 KIPS |
|
|
Image Classification (Q)
|
99% |
7957
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
299
4.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
6866
111.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
14432
234.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
369
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
30425
35.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
61765
72.3 IPS |
|
|
Object Detection (SP)
|
100% |
220
17.5 IPS |
|
|
Object Detection (HP)
|
100% |
4598
364.7 IPS |
|
|
Object Detection (Q)
|
87% |
5179
415.4 IPS |
|
|
Face Detection (SP)
|
100% |
545
6.48 IPS |
|
|
Face Detection (HP)
|
100% |
15450
183.6 IPS |
|
|
Face Detection (Q)
|
97% |
25164
300.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
478
3.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
27020
208.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
34163
314.5 IPS |
|
|
Style Transfer (SP)
|
100% |
706
0.91 IPS |
|
|
Style Transfer (HP)
|
100% |
696
0.89 IPS |
|
|
Style Transfer (Q)
|
98% |
1782
2.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
271
10.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7754
286.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14114
523.0 IPS |
|
|
Text Classification (SP)
|
100% |
193
257.4 IPS |
|
|
Text Classification (HP)
|
100% |
340
454.0 IPS |
|
|
Text Classification (Q)
|
92% |
1326
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
516
8.89 IPS |
|
|
Machine Translation (HP)
|
100% |
505
8.69 IPS |
|
|
Machine Translation (Q)
|
57% |
329
8.05 IPS |
