Google Pixel 8a
Geekbench AI Score
1581
Single Precision Score
1570
Half Precision Score
2388
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 15 2025 08:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1393
259.1 IPS |
|
|
Image Classification (HP)
|
100% |
1502
279.3 IPS |
|
|
Image Classification (Q)
|
100% |
2421
450.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1698
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1644
26.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2578
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2838
3.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2781
3.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
6208
7.36 IPS |
|
|
Object Detection (SP)
|
98% |
1269
101.0 IPS |
|
|
Object Detection (HP)
|
98% |
1259
100.2 IPS |
|
|
Object Detection (Q)
|
83% |
1942
156.8 IPS |
|
|
Face Detection (SP)
|
100% |
2687
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
2284
27.1 IPS |
|
|
Face Detection (Q)
|
95% |
3512
41.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2202
17.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2135
16.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3336
30.6 IPS |
|
|
Style Transfer (SP)
|
89% |
4996
6.49 IPS |
|
|
Style Transfer (HP)
|
89% |
4986
6.47 IPS |
|
|
Style Transfer (Q)
|
98% |
9668
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1007
37.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1022
37.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2380
88.2 IPS |
|
|
Text Classification (SP)
|
100% |
410
547.7 IPS |
|
|
Text Classification (HP)
|
99% |
443
591.4 IPS |
|
|
Text Classification (Q)
|
88% |
647
872.9 IPS |
|
|
Machine Translation (SP)
|
100% |
942
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
958
16.5 IPS |
|
|
Machine Translation (Q)
|
50% |
461
16.4 IPS |
