Google Pixel 8a
Geekbench AI Score
1493
Single Precision Score
1462
Half Precision Score
2201
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | M91 |
| Upload Date | February 08 2026 07:11 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1410
262.2 IPS |
|
|
Image Classification (HP)
|
100% |
1430
266.0 IPS |
|
|
Image Classification (Q)
|
100% |
2460
457.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1627
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1522
24.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2358
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2611
3.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
2143
2.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
4536
5.38 IPS |
|
|
Object Detection (SP)
|
98% |
991
78.9 IPS |
|
|
Object Detection (HP)
|
98% |
991
78.8 IPS |
|
|
Object Detection (Q)
|
83% |
1460
118.0 IPS |
|
|
Face Detection (SP)
|
100% |
2196
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
2205
26.2 IPS |
|
|
Face Detection (Q)
|
95% |
3220
38.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2031
15.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2057
15.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3229
29.6 IPS |
|
|
Style Transfer (SP)
|
89% |
5066
6.58 IPS |
|
|
Style Transfer (HP)
|
89% |
5042
6.55 IPS |
|
|
Style Transfer (Q)
|
98% |
9550
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1034
38.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1020
37.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2322
86.0 IPS |
|
|
Text Classification (SP)
|
100% |
430
574.0 IPS |
|
|
Text Classification (HP)
|
99% |
437
582.6 IPS |
|
|
Text Classification (Q)
|
88% |
648
873.4 IPS |
|
|
Machine Translation (SP)
|
100% |
926
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
952
16.4 IPS |
|
|
Machine Translation (Q)
|
50% |
465
16.5 IPS |
