Google Pixel 8a
Geekbench AI Score
1318
Single Precision Score
1262
Half Precision Score
1727
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 04 2025 01:56 AM |
| Views | 7 |
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% |
1278
237.6 IPS |
|
|
Image Classification (HP)
|
100% |
1432
266.4 IPS |
|
|
Image Classification (Q)
|
100% |
2435
452.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1592
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1591
25.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2346
38.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2539
2.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
2103
2.45 IPS |
|
|
Pose Estimation (Q)
|
84% |
4306
5.11 IPS |
|
|
Object Detection (SP)
|
98% |
764
60.8 IPS |
|
|
Object Detection (HP)
|
98% |
692
55.1 IPS |
|
|
Object Detection (Q)
|
83% |
988
79.8 IPS |
|
|
Face Detection (SP)
|
100% |
1603
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
1628
19.3 IPS |
|
|
Face Detection (Q)
|
95% |
2390
28.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1597
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1534
11.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2341
21.4 IPS |
|
|
Style Transfer (SP)
|
89% |
4820
6.26 IPS |
|
|
Style Transfer (HP)
|
89% |
5020
6.52 IPS |
|
|
Style Transfer (Q)
|
98% |
9132
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1019
37.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
992
36.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2290
84.9 IPS |
|
|
Text Classification (SP)
|
100% |
453
604.3 IPS |
|
|
Text Classification (HP)
|
99% |
397
529.5 IPS |
|
|
Text Classification (Q)
|
88% |
310
417.8 IPS |
|
|
Machine Translation (SP)
|
100% |
706
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
630
10.9 IPS |
|
|
Machine Translation (Q)
|
50% |
268
9.50 IPS |
