Google Pixel 8a
Geekbench AI Score
369
Single Precision Score
4330
Half Precision Score
7656
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 12:07 AM |
| Views | 9 |
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 | 7.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
227
42.3 IPS |
|
|
Image Classification (HP)
|
100% |
5824
1.08 KIPS |
|
|
Image Classification (Q)
|
99% |
7609
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
304
4.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
7165
116.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
15735
255.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
380
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
30696
35.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
61801
72.4 IPS |
|
|
Object Detection (SP)
|
100% |
216
17.2 IPS |
|
|
Object Detection (HP)
|
100% |
4114
326.3 IPS |
|
|
Object Detection (Q)
|
87% |
7206
578.1 IPS |
|
|
Face Detection (SP)
|
100% |
552
6.56 IPS |
|
|
Face Detection (HP)
|
100% |
17536
208.4 IPS |
|
|
Face Detection (Q)
|
97% |
25817
307.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
487
3.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
28464
219.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
33867
311.8 IPS |
|
|
Style Transfer (SP)
|
100% |
706
0.91 IPS |
|
|
Style Transfer (HP)
|
100% |
714
0.92 IPS |
|
|
Style Transfer (Q)
|
98% |
1809
2.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
268
9.89 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7501
277.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14719
545.4 IPS |
|
|
Text Classification (SP)
|
100% |
321
428.8 IPS |
|
|
Text Classification (HP)
|
100% |
329
439.5 IPS |
|
|
Text Classification (Q)
|
92% |
1660
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
512
8.83 IPS |
|
|
Machine Translation (HP)
|
100% |
501
8.63 IPS |
|
|
Machine Translation (Q)
|
57% |
336
8.20 IPS |
