Google Pixel 8a
Geekbench AI Score
1498
Single Precision Score
1491
Half Precision Score
2237
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | December 16 2025 03:40 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 | 7.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1462
272.0 IPS |
|
|
Image Classification (HP)
|
100% |
1439
267.6 IPS |
|
|
Image Classification (Q)
|
100% |
2498
464.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1633
26.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2607
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2630
3.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
2234
2.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
4684
5.56 IPS |
|
|
Object Detection (SP)
|
98% |
997
79.4 IPS |
|
|
Object Detection (HP)
|
98% |
997
79.3 IPS |
|
|
Object Detection (Q)
|
83% |
1470
118.8 IPS |
|
|
Face Detection (SP)
|
100% |
2224
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
2211
26.3 IPS |
|
|
Face Detection (Q)
|
95% |
3195
38.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2031
15.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2052
15.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3430
31.4 IPS |
|
|
Style Transfer (SP)
|
89% |
5039
6.54 IPS |
|
|
Style Transfer (HP)
|
89% |
5174
6.72 IPS |
|
|
Style Transfer (Q)
|
98% |
9535
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1007
37.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1052
38.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2333
86.4 IPS |
|
|
Text Classification (SP)
|
100% |
447
597.1 IPS |
|
|
Text Classification (HP)
|
99% |
446
595.4 IPS |
|
|
Text Classification (Q)
|
88% |
613
826.5 IPS |
|
|
Machine Translation (SP)
|
100% |
902
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
948
16.3 IPS |
|
|
Machine Translation (Q)
|
50% |
469
16.6 IPS |
