Google Pixel 8a
Geekbench AI Score
961
Single Precision Score
963
Half Precision Score
1464
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | March 25 2025 10:35 AM |
| Views | 10 |
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% |
640
119.0 IPS |
|
|
Image Classification (HP)
|
100% |
658
122.4 IPS |
|
|
Image Classification (Q)
|
100% |
1022
190.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
790
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
775
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1188
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1489
1.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
1466
1.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
3395
4.03 IPS |
|
|
Object Detection (SP)
|
98% |
656
52.2 IPS |
|
|
Object Detection (HP)
|
98% |
694
55.2 IPS |
|
|
Object Detection (Q)
|
83% |
985
79.6 IPS |
|
|
Face Detection (SP)
|
100% |
1627
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
1541
18.3 IPS |
|
|
Face Detection (Q)
|
95% |
2473
29.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1547
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1554
12.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2366
21.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3747
4.86 IPS |
|
|
Style Transfer (HP)
|
89% |
3684
4.78 IPS |
|
|
Style Transfer (Q)
|
98% |
6895
8.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
745
27.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
731
27.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1697
62.9 IPS |
|
|
Text Classification (SP)
|
100% |
302
403.4 IPS |
|
|
Text Classification (HP)
|
99% |
311
415.2 IPS |
|
|
Text Classification (Q)
|
88% |
512
690.1 IPS |
|
|
Machine Translation (SP)
|
100% |
647
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
662
11.4 IPS |
|
|
Machine Translation (Q)
|
50% |
319
11.3 IPS |
