Google Pixel 8a
Geekbench AI Score
1189
Single Precision Score
1185
Half Precision Score
1747
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | March 31 2025 08:32 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% |
1246
231.8 IPS |
|
|
Image Classification (HP)
|
100% |
1325
246.4 IPS |
|
|
Image Classification (Q)
|
100% |
2308
429.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1556
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1597
25.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2265
36.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2376
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
2005
2.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
3334
3.95 IPS |
|
|
Object Detection (SP)
|
98% |
640
51.0 IPS |
|
|
Object Detection (HP)
|
98% |
697
55.5 IPS |
|
|
Object Detection (Q)
|
83% |
987
79.8 IPS |
|
|
Face Detection (SP)
|
100% |
1562
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
1547
18.4 IPS |
|
|
Face Detection (Q)
|
95% |
2415
28.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1529
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1536
11.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2340
21.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3673
4.77 IPS |
|
|
Style Transfer (HP)
|
89% |
3626
4.71 IPS |
|
|
Style Transfer (Q)
|
98% |
6830
8.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
758
28.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
734
27.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1720
63.7 IPS |
|
|
Text Classification (SP)
|
100% |
299
398.5 IPS |
|
|
Text Classification (HP)
|
99% |
308
411.4 IPS |
|
|
Text Classification (Q)
|
88% |
508
685.1 IPS |
|
|
Machine Translation (SP)
|
100% |
965
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
953
16.4 IPS |
|
|
Machine Translation (Q)
|
50% |
457
16.2 IPS |
