Google Pixel 8a
Geekbench AI Score
1731
Single Precision Score
1719
Half Precision Score
2700
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 05 2025 01:35 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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1441
267.9 IPS |
|
|
Image Classification (HP)
|
100% |
1452
270.1 IPS |
|
|
Image Classification (Q)
|
100% |
2437
453.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1704
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1737
28.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2800
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2882
3.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2822
3.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
6434
7.63 IPS |
|
|
Object Detection (SP)
|
98% |
1259
100.2 IPS |
|
|
Object Detection (HP)
|
98% |
1380
109.8 IPS |
|
|
Object Detection (Q)
|
83% |
2320
187.4 IPS |
|
|
Face Detection (SP)
|
100% |
2896
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
2918
34.7 IPS |
|
|
Face Detection (Q)
|
95% |
5492
65.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2751
21.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2647
20.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4756
43.6 IPS |
|
|
Style Transfer (SP)
|
89% |
6815
8.85 IPS |
|
|
Style Transfer (HP)
|
89% |
6300
8.18 IPS |
|
|
Style Transfer (Q)
|
98% |
9736
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1087
40.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1069
39.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2420
89.7 IPS |
|
|
Text Classification (SP)
|
100% |
485
646.8 IPS |
|
|
Text Classification (HP)
|
99% |
475
633.8 IPS |
|
|
Text Classification (Q)
|
88% |
702
946.7 IPS |
|
|
Machine Translation (SP)
|
100% |
952
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
930
16.0 IPS |
|
|
Machine Translation (Q)
|
50% |
469
16.7 IPS |
