Google Pixel 8a
Geekbench AI Score
1106
Single Precision Score
1085
Half Precision Score
1550
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 02:51 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| 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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
654
121.6 IPS |
|
|
Image Classification (HP)
|
100% |
644
119.8 IPS |
|
|
Image Classification (Q)
|
100% |
1088
202.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1704
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1697
27.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2628
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2593
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2110
2.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
3339
3.96 IPS |
|
|
Object Detection (SP)
|
98% |
671
53.4 IPS |
|
|
Object Detection (HP)
|
98% |
700
55.7 IPS |
|
|
Object Detection (Q)
|
83% |
981
79.2 IPS |
|
|
Face Detection (SP)
|
100% |
1655
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
1598
19.0 IPS |
|
|
Face Detection (Q)
|
95% |
2377
28.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1521
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1548
12.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2225
20.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3711
4.82 IPS |
|
|
Style Transfer (HP)
|
89% |
3655
4.74 IPS |
|
|
Style Transfer (Q)
|
98% |
6904
8.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
697
25.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
762
28.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1641
60.8 IPS |
|
|
Text Classification (SP)
|
100% |
314
419.2 IPS |
|
|
Text Classification (HP)
|
99% |
330
441.1 IPS |
|
|
Text Classification (Q)
|
88% |
499
672.8 IPS |
|
|
Machine Translation (SP)
|
100% |
692
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
617
10.6 IPS |
|
|
Machine Translation (Q)
|
50% |
287
10.2 IPS |
