Google Pixel 8a
Geekbench AI Score
1863
Single Precision Score
1901
Half Precision Score
3134
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 22 2025 07:18 PM |
| Views | 1 |
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 | 7.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1089
202.6 IPS |
|
|
Image Classification (HP)
|
100% |
1426
265.2 IPS |
|
|
Image Classification (Q)
|
100% |
2579
479.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1620
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1685
27.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2813
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2938
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
2788
3.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
6413
7.61 IPS |
|
|
Object Detection (SP)
|
98% |
1389
110.5 IPS |
|
|
Object Detection (HP)
|
98% |
1395
111.0 IPS |
|
|
Object Detection (Q)
|
83% |
2325
187.8 IPS |
|
|
Face Detection (SP)
|
100% |
3008
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
2987
35.5 IPS |
|
|
Face Detection (Q)
|
95% |
4902
58.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2752
21.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2699
20.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5048
46.2 IPS |
|
|
Style Transfer (SP)
|
89% |
6901
8.96 IPS |
|
|
Style Transfer (HP)
|
89% |
6850
8.89 IPS |
|
|
Style Transfer (Q)
|
98% |
13451
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1417
52.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1450
53.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3696
136.9 IPS |
|
|
Text Classification (SP)
|
100% |
681
909.4 IPS |
|
|
Text Classification (HP)
|
99% |
679
906.8 IPS |
|
|
Text Classification (Q)
|
88% |
1098
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1270
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1216
21.0 IPS |
|
|
Machine Translation (Q)
|
50% |
626
22.2 IPS |
