Google Pixel 8a
Geekbench AI Score
1726
Single Precision Score
1782
Half Precision Score
2906
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 31 2024 07:10 PM |
| Views | 1 |
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 | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1065
198.0 IPS |
|
|
Image Classification (HP)
|
100% |
1045
194.3 IPS |
|
|
Image Classification (Q)
|
100% |
2586
481.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1748
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1696
27.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2678
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2921
3.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
2833
3.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
6329
7.51 IPS |
|
|
Object Detection (SP)
|
98% |
1294
103.0 IPS |
|
|
Object Detection (HP)
|
98% |
1382
109.9 IPS |
|
|
Object Detection (Q)
|
83% |
2315
187.0 IPS |
|
|
Face Detection (SP)
|
100% |
2779
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
2842
33.8 IPS |
|
|
Face Detection (Q)
|
95% |
5328
63.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2772
21.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2836
21.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5114
46.8 IPS |
|
|
Style Transfer (SP)
|
89% |
5966
7.74 IPS |
|
|
Style Transfer (HP)
|
89% |
6739
8.75 IPS |
|
|
Style Transfer (Q)
|
98% |
12637
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1239
45.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1341
49.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3148
116.7 IPS |
|
|
Text Classification (SP)
|
100% |
539
719.0 IPS |
|
|
Text Classification (HP)
|
99% |
607
809.5 IPS |
|
|
Text Classification (Q)
|
88% |
862
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1087
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1057
18.2 IPS |
|
|
Machine Translation (Q)
|
50% |
454
16.1 IPS |
