Google Pixel 8a
Geekbench AI Score
1499
Single Precision Score
1486
Half Precision Score
2243
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | March 28 2025 11:03 AM |
| Views | 31 |
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% |
1446
268.9 IPS |
|
|
Image Classification (HP)
|
100% |
1451
269.9 IPS |
|
|
Image Classification (Q)
|
100% |
2522
468.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1689
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1703
27.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2601
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2798
3.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
2608
3.04 IPS |
|
|
Pose Estimation (Q)
|
84% |
5477
6.50 IPS |
|
|
Object Detection (SP)
|
98% |
952
75.8 IPS |
|
|
Object Detection (HP)
|
98% |
1053
83.8 IPS |
|
|
Object Detection (Q)
|
83% |
1459
117.9 IPS |
|
|
Face Detection (SP)
|
100% |
2164
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
2186
26.0 IPS |
|
|
Face Detection (Q)
|
95% |
3375
40.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
1872
14.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1622
12.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2359
21.6 IPS |
|
|
Style Transfer (SP)
|
89% |
4998
6.49 IPS |
|
|
Style Transfer (HP)
|
89% |
5018
6.51 IPS |
|
|
Style Transfer (Q)
|
98% |
9544
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
991
36.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1010
37.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2355
87.3 IPS |
|
|
Text Classification (SP)
|
100% |
449
599.1 IPS |
|
|
Text Classification (HP)
|
99% |
450
600.7 IPS |
|
|
Text Classification (Q)
|
88% |
739
997.2 IPS |
|
|
Machine Translation (SP)
|
100% |
982
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
962
16.6 IPS |
|
|
Machine Translation (Q)
|
50% |
466
16.6 IPS |
