Google Pixel 8a
Geekbench AI Score
1495
Single Precision Score
1461
Half Precision Score
2251
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 02 2025 12:25 PM |
| Views | 7 |
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% |
1344
250.0 IPS |
|
|
Image Classification (HP)
|
100% |
1352
251.3 IPS |
|
|
Image Classification (Q)
|
100% |
2518
468.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1630
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1508
24.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2708
44.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2618
3.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
2240
2.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
4519
5.36 IPS |
|
|
Object Detection (SP)
|
98% |
1010
80.4 IPS |
|
|
Object Detection (HP)
|
98% |
1008
80.2 IPS |
|
|
Object Detection (Q)
|
83% |
1312
106.0 IPS |
|
|
Face Detection (SP)
|
100% |
2183
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
2184
26.0 IPS |
|
|
Face Detection (Q)
|
95% |
3208
38.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2093
16.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2125
16.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3369
30.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5056
6.56 IPS |
|
|
Style Transfer (HP)
|
89% |
5004
6.50 IPS |
|
|
Style Transfer (Q)
|
98% |
9307
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1012
37.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1016
37.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2373
87.9 IPS |
|
|
Text Classification (SP)
|
100% |
453
604.3 IPS |
|
|
Text Classification (HP)
|
99% |
439
585.6 IPS |
|
|
Text Classification (Q)
|
88% |
735
991.3 IPS |
|
|
Machine Translation (SP)
|
100% |
913
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
933
16.1 IPS |
|
|
Machine Translation (Q)
|
50% |
471
16.7 IPS |
