Google Pixel 8a
Geekbench AI Score
1344
Single Precision Score
1316
Half Precision Score
1937
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 19 2025 06:27 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1388
258.2 IPS |
|
|
Image Classification (HP)
|
100% |
1402
260.6 IPS |
|
|
Image Classification (Q)
|
100% |
2441
454.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1490
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1644
26.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2099
34.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2540
2.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
2153
2.51 IPS |
|
|
Pose Estimation (Q)
|
84% |
4481
5.31 IPS |
|
|
Object Detection (SP)
|
98% |
1000
79.5 IPS |
|
|
Object Detection (HP)
|
98% |
795
63.2 IPS |
|
|
Object Detection (Q)
|
83% |
938
75.8 IPS |
|
|
Face Detection (SP)
|
100% |
1676
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
1634
19.4 IPS |
|
|
Face Detection (Q)
|
95% |
3185
38.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2030
15.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1949
15.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3340
30.6 IPS |
|
|
Style Transfer (SP)
|
89% |
5025
6.52 IPS |
|
|
Style Transfer (HP)
|
89% |
5018
6.51 IPS |
|
|
Style Transfer (Q)
|
98% |
9606
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
976
36.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
894
33.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1756
65.1 IPS |
|
|
Text Classification (SP)
|
100% |
349
466.4 IPS |
|
|
Text Classification (HP)
|
99% |
302
403.7 IPS |
|
|
Text Classification (Q)
|
88% |
429
578.5 IPS |
|
|
Machine Translation (SP)
|
100% |
632
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
919
15.8 IPS |
|
|
Machine Translation (Q)
|
50% |
450
16.0 IPS |
