Google Pixel 8a
Geekbench AI Score
1531
Single Precision Score
1528
Half Precision Score
2300
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 07:05 PM |
| Views | 2 |
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% |
1479
275.0 IPS |
|
|
Image Classification (HP)
|
100% |
1474
274.1 IPS |
|
|
Image Classification (Q)
|
100% |
2559
476.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1686
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1749
28.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2813
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2829
3.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
2687
3.14 IPS |
|
|
Pose Estimation (Q)
|
84% |
5743
6.81 IPS |
|
|
Object Detection (SP)
|
98% |
1000
79.6 IPS |
|
|
Object Detection (HP)
|
98% |
1068
85.0 IPS |
|
|
Object Detection (Q)
|
83% |
1564
126.4 IPS |
|
|
Face Detection (SP)
|
100% |
2214
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
2182
25.9 IPS |
|
|
Face Detection (Q)
|
95% |
3360
40.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2130
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2000
15.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3379
30.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5014
6.51 IPS |
|
|
Style Transfer (HP)
|
89% |
5043
6.55 IPS |
|
|
Style Transfer (Q)
|
98% |
9495
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
982
36.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
987
36.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2293
85.0 IPS |
|
|
Text Classification (SP)
|
100% |
452
602.8 IPS |
|
|
Text Classification (HP)
|
99% |
456
609.1 IPS |
|
|
Text Classification (Q)
|
88% |
548
738.6 IPS |
|
|
Machine Translation (SP)
|
100% |
956
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
952
16.4 IPS |
|
|
Machine Translation (Q)
|
50% |
475
16.8 IPS |
