Google Pixel 8a
Geekbench AI Score
962
Single Precision Score
975
Half Precision Score
1422
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 03 2025 12:23 PM |
| Views | 12 |
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% |
647
120.3 IPS |
|
|
Image Classification (HP)
|
100% |
665
123.6 IPS |
|
|
Image Classification (Q)
|
100% |
1051
195.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
805
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
813
13.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1112
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1486
1.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
1481
1.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
3311
3.93 IPS |
|
|
Object Detection (SP)
|
98% |
684
54.5 IPS |
|
|
Object Detection (HP)
|
98% |
712
56.6 IPS |
|
|
Object Detection (Q)
|
83% |
978
79.0 IPS |
|
|
Face Detection (SP)
|
100% |
1614
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
1575
18.7 IPS |
|
|
Face Detection (Q)
|
95% |
2260
27.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1479
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1484
11.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2279
20.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3628
4.71 IPS |
|
|
Style Transfer (HP)
|
89% |
3635
4.72 IPS |
|
|
Style Transfer (Q)
|
98% |
6915
8.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
742
27.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
754
27.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1694
62.8 IPS |
|
|
Text Classification (SP)
|
100% |
294
392.0 IPS |
|
|
Text Classification (HP)
|
99% |
333
444.0 IPS |
|
|
Text Classification (Q)
|
88% |
480
646.9 IPS |
|
|
Machine Translation (SP)
|
100% |
682
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (Q)
|
50% |
310
11.0 IPS |
