Google Pixel 8a
Geekbench AI Score
1484
Single Precision Score
1571
Half Precision Score
2343
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | December 17 2025 02:32 AM |
| 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 | 7.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1556
289.3 IPS |
|
|
Image Classification (HP)
|
100% |
1431
266.2 IPS |
|
|
Image Classification (Q)
|
100% |
2564
476.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1788
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1706
27.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2625
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2883
3.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2806
3.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
6328
7.51 IPS |
|
|
Object Detection (SP)
|
98% |
1232
98.1 IPS |
|
|
Object Detection (HP)
|
98% |
1301
103.5 IPS |
|
|
Object Detection (Q)
|
83% |
1950
157.5 IPS |
|
|
Face Detection (SP)
|
100% |
2632
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
2311
27.5 IPS |
|
|
Face Detection (Q)
|
95% |
3296
39.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1992
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2100
16.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3400
31.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5005
6.50 IPS |
|
|
Style Transfer (HP)
|
89% |
5016
6.51 IPS |
|
|
Style Transfer (Q)
|
98% |
9119
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1000
36.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1003
37.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2339
86.7 IPS |
|
|
Text Classification (SP)
|
100% |
215
286.7 IPS |
|
|
Text Classification (HP)
|
99% |
446
594.7 IPS |
|
|
Text Classification (Q)
|
88% |
653
880.6 IPS |
|
|
Machine Translation (SP)
|
100% |
935
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
949
16.3 IPS |
|
|
Machine Translation (Q)
|
50% |
386
13.7 IPS |
