Google Pixel 8a
Geekbench AI Score
1428
Single Precision Score
1364
Half Precision Score
2115
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 10 2025 02:13 AM |
| Views | 4 |
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% |
950
176.7 IPS |
|
|
Image Classification (HP)
|
100% |
925
172.1 IPS |
|
|
Image Classification (Q)
|
100% |
2416
449.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1653
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1257
20.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2758
44.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2822
3.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2501
2.92 IPS |
|
|
Pose Estimation (Q)
|
84% |
5272
6.25 IPS |
|
|
Object Detection (SP)
|
98% |
1079
85.9 IPS |
|
|
Object Detection (HP)
|
98% |
1076
85.6 IPS |
|
|
Object Detection (Q)
|
83% |
1430
115.5 IPS |
|
|
Face Detection (SP)
|
100% |
2185
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
2213
26.3 IPS |
|
|
Face Detection (Q)
|
95% |
3188
38.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2121
16.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1760
13.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
2572
23.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3650
4.74 IPS |
|
|
Style Transfer (HP)
|
89% |
4962
6.44 IPS |
|
|
Style Transfer (Q)
|
98% |
9515
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1035
38.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
981
36.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2340
86.7 IPS |
|
|
Text Classification (SP)
|
100% |
441
588.4 IPS |
|
|
Text Classification (HP)
|
99% |
438
585.2 IPS |
|
|
Text Classification (Q)
|
88% |
647
872.7 IPS |
|
|
Machine Translation (SP)
|
100% |
958
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
864
14.9 IPS |
|
|
Machine Translation (Q)
|
50% |
303
10.8 IPS |
