Google Pixel 8a
Geekbench AI Score
1259
Single Precision Score
1235
Half Precision Score
1654
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 24 2025 05:37 PM |
| Views | 2 |
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% |
1299
241.5 IPS |
|
|
Image Classification (HP)
|
100% |
1412
262.5 IPS |
|
|
Image Classification (Q)
|
100% |
2334
434.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1532
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1597
25.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1444
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2514
2.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
2054
2.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
3462
4.11 IPS |
|
|
Object Detection (SP)
|
98% |
706
56.2 IPS |
|
|
Object Detection (HP)
|
98% |
692
55.1 IPS |
|
|
Object Detection (Q)
|
83% |
993
80.2 IPS |
|
|
Face Detection (SP)
|
100% |
1601
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
1583
18.8 IPS |
|
|
Face Detection (Q)
|
95% |
2275
27.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1513
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1538
11.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
1496
13.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3709
4.81 IPS |
|
|
Style Transfer (HP)
|
89% |
3644
4.73 IPS |
|
|
Style Transfer (Q)
|
98% |
6911
8.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
725
26.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
712
26.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2121
78.6 IPS |
|
|
Text Classification (SP)
|
100% |
453
604.8 IPS |
|
|
Text Classification (HP)
|
99% |
444
593.2 IPS |
|
|
Text Classification (Q)
|
88% |
731
986.1 IPS |
|
|
Machine Translation (SP)
|
100% |
967
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
920
15.9 IPS |
|
|
Machine Translation (Q)
|
50% |
364
12.9 IPS |
