Google Pixel 8a
Geekbench AI Score
353
Single Precision Score
4078
Half Precision Score
7215
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 09:51 AM |
| 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 | 7.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
255
47.5 IPS |
|
|
Image Classification (HP)
|
100% |
4153
772.3 IPS |
|
|
Image Classification (Q)
|
99% |
7687
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
315
5.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
6776
109.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
16259
264.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
381
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
30598
35.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
61802
72.4 IPS |
|
|
Object Detection (SP)
|
100% |
217
17.2 IPS |
|
|
Object Detection (HP)
|
100% |
3862
306.4 IPS |
|
|
Object Detection (Q)
|
87% |
5466
438.5 IPS |
|
|
Face Detection (SP)
|
100% |
472
5.61 IPS |
|
|
Face Detection (HP)
|
100% |
16683
198.2 IPS |
|
|
Face Detection (Q)
|
97% |
24908
297.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
491
3.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
26445
203.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
32393
298.2 IPS |
|
|
Style Transfer (SP)
|
100% |
727
0.93 IPS |
|
|
Style Transfer (HP)
|
100% |
705
0.91 IPS |
|
|
Style Transfer (Q)
|
98% |
1750
2.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
245
9.04 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8102
299.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14014
519.3 IPS |
|
|
Text Classification (SP)
|
100% |
222
296.2 IPS |
|
|
Text Classification (HP)
|
100% |
292
390.3 IPS |
|
|
Text Classification (Q)
|
92% |
1391
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
500
8.61 IPS |
|
|
Machine Translation (HP)
|
100% |
521
8.97 IPS |
|
|
Machine Translation (Q)
|
57% |
329
8.03 IPS |
