Google Pixel 8a
Geekbench AI Score
335
Single Precision Score
4104
Half Precision Score
7169
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | March 01 2026 08:01 AM |
| Views | 5 |
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% |
229
42.6 IPS |
|
|
Image Classification (HP)
|
100% |
5592
1.04 KIPS |
|
|
Image Classification (Q)
|
99% |
7646
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
267
4.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
8085
131.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
15429
250.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
372
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
30795
35.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
61887
72.5 IPS |
|
|
Object Detection (SP)
|
100% |
198
15.7 IPS |
|
|
Object Detection (HP)
|
100% |
3813
302.5 IPS |
|
|
Object Detection (Q)
|
87% |
5060
405.9 IPS |
|
|
Face Detection (SP)
|
100% |
477
5.66 IPS |
|
|
Face Detection (HP)
|
100% |
12023
142.9 IPS |
|
|
Face Detection (Q)
|
97% |
25058
298.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
486
3.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
28913
222.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
32282
297.2 IPS |
|
|
Style Transfer (SP)
|
100% |
673
0.87 IPS |
|
|
Style Transfer (HP)
|
100% |
648
0.83 IPS |
|
|
Style Transfer (Q)
|
98% |
1785
2.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
272
10.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7912
292.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14451
535.5 IPS |
|
|
Text Classification (SP)
|
100% |
193
257.3 IPS |
|
|
Text Classification (HP)
|
100% |
319
426.3 IPS |
|
|
Text Classification (Q)
|
92% |
1455
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
493
8.49 IPS |
|
|
Machine Translation (HP)
|
100% |
450
7.76 IPS |
|
|
Machine Translation (Q)
|
57% |
320
7.81 IPS |
