Google Pixel 8a
Geekbench AI Score
362
Single Precision Score
4039
Half Precision Score
7489
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | M91 |
| Upload Date | January 28 2026 11:53 AM |
| Views | 12 |
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% |
223
41.4 IPS |
|
|
Image Classification (HP)
|
100% |
5061
941.2 IPS |
|
|
Image Classification (Q)
|
99% |
7904
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
311
5.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
7613
123.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
13938
226.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
375
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
30675
35.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
62014
72.6 IPS |
|
|
Object Detection (SP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (HP)
|
100% |
3781
299.9 IPS |
|
|
Object Detection (Q)
|
87% |
6706
538.0 IPS |
|
|
Face Detection (SP)
|
100% |
539
6.41 IPS |
|
|
Face Detection (HP)
|
100% |
12406
147.4 IPS |
|
|
Face Detection (Q)
|
97% |
24411
291.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
485
3.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
27657
213.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
31828
293.0 IPS |
|
|
Style Transfer (SP)
|
100% |
711
0.91 IPS |
|
|
Style Transfer (HP)
|
100% |
669
0.86 IPS |
|
|
Style Transfer (Q)
|
98% |
1809
2.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
273
10.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8377
309.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15612
578.5 IPS |
|
|
Text Classification (SP)
|
100% |
293
391.5 IPS |
|
|
Text Classification (HP)
|
100% |
293
391.6 IPS |
|
|
Text Classification (Q)
|
92% |
1668
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
503
8.66 IPS |
|
|
Machine Translation (HP)
|
100% |
459
7.91 IPS |
|
|
Machine Translation (Q)
|
57% |
331
8.08 IPS |
