Google Pixel 8a
Geekbench AI Score
1331
Single Precision Score
1442
Half Precision Score
2103
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 23 2025 09:19 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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1083
201.4 IPS |
|
|
Image Classification (HP)
|
100% |
1405
261.3 IPS |
|
|
Image Classification (Q)
|
100% |
2455
456.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1084
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1041
16.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1590
25.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2597
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2436
2.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
4662
5.53 IPS |
|
|
Object Detection (SP)
|
98% |
937
74.6 IPS |
|
|
Object Detection (HP)
|
98% |
1065
84.8 IPS |
|
|
Object Detection (Q)
|
83% |
1285
103.8 IPS |
|
|
Face Detection (SP)
|
100% |
2150
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
2200
26.1 IPS |
|
|
Face Detection (Q)
|
95% |
3184
38.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1997
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2119
16.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3038
27.8 IPS |
|
|
Style Transfer (SP)
|
89% |
5019
6.52 IPS |
|
|
Style Transfer (HP)
|
89% |
5004
6.50 IPS |
|
|
Style Transfer (Q)
|
98% |
9576
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1009
37.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1029
38.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2293
85.0 IPS |
|
|
Text Classification (SP)
|
100% |
299
399.6 IPS |
|
|
Text Classification (HP)
|
99% |
450
600.2 IPS |
|
|
Text Classification (Q)
|
88% |
731
986.0 IPS |
|
|
Machine Translation (SP)
|
100% |
940
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
955
16.4 IPS |
|
|
Machine Translation (Q)
|
50% |
467
16.6 IPS |
