Google Pixel 8a
Geekbench AI Score
1249
Single Precision Score
1279
Half Precision Score
1895
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 18 2025 01:41 AM |
| 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% |
1269
236.1 IPS |
|
|
Image Classification (HP)
|
100% |
1325
246.4 IPS |
|
|
Image Classification (Q)
|
100% |
2427
451.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1550
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1592
25.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2506
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2532
2.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
2122
2.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
3720
4.41 IPS |
|
|
Object Detection (SP)
|
98% |
684
54.5 IPS |
|
|
Object Detection (HP)
|
98% |
670
53.3 IPS |
|
|
Object Detection (Q)
|
83% |
990
80.0 IPS |
|
|
Face Detection (SP)
|
100% |
1626
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
1600
19.0 IPS |
|
|
Face Detection (Q)
|
95% |
2582
30.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1563
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1521
11.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2295
21.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3678
4.77 IPS |
|
|
Style Transfer (HP)
|
89% |
3693
4.79 IPS |
|
|
Style Transfer (Q)
|
98% |
6638
8.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
721
26.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1008
37.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2290
84.8 IPS |
|
|
Text Classification (SP)
|
100% |
445
593.5 IPS |
|
|
Text Classification (HP)
|
99% |
453
604.9 IPS |
|
|
Text Classification (Q)
|
88% |
649
874.7 IPS |
|
|
Machine Translation (SP)
|
100% |
911
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
959
16.5 IPS |
|
|
Machine Translation (Q)
|
50% |
457
16.2 IPS |
