Google Pixel 8a
Geekbench AI Score
1628
Single Precision Score
1693
Half Precision Score
2636
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2025 12:31 PM |
| Views | 4 |
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% |
1088
202.3 IPS |
|
|
Image Classification (HP)
|
100% |
1449
269.4 IPS |
|
|
Image Classification (Q)
|
100% |
2587
481.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1650
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1623
26.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2640
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2962
3.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2764
3.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
6426
7.62 IPS |
|
|
Object Detection (SP)
|
98% |
1371
109.1 IPS |
|
|
Object Detection (HP)
|
98% |
1391
110.7 IPS |
|
|
Object Detection (Q)
|
83% |
2045
165.2 IPS |
|
|
Face Detection (SP)
|
100% |
2916
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
2938
34.9 IPS |
|
|
Face Detection (Q)
|
95% |
5311
63.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2701
20.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2812
21.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4688
42.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5659
7.35 IPS |
|
|
Style Transfer (HP)
|
89% |
6259
8.13 IPS |
|
|
Style Transfer (Q)
|
98% |
10831
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1144
42.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1080
39.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2308
85.5 IPS |
|
|
Text Classification (SP)
|
100% |
378
504.2 IPS |
|
|
Text Classification (HP)
|
99% |
405
540.1 IPS |
|
|
Text Classification (Q)
|
88% |
632
852.6 IPS |
|
|
Machine Translation (SP)
|
100% |
936
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
947
16.3 IPS |
|
|
Machine Translation (Q)
|
50% |
460
16.3 IPS |
