Google Pixel 8a
Geekbench AI Score
1474
Single Precision Score
1625
Half Precision Score
2169
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | March 31 2026 08:34 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G3 |
| 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 | 7.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1418
263.7 IPS |
|
|
Image Classification (HP)
|
100% |
1186
220.6 IPS |
|
|
Image Classification (Q)
|
99% |
2345
437.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1408
22.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2542
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2493
2.91 IPS |
|
|
Pose Estimation (HP)
|
92% |
4008
4.71 IPS |
|
|
Pose Estimation (Q)
|
96% |
4562
5.35 IPS |
|
|
Object Detection (SP)
|
98% |
986
78.5 IPS |
|
|
Object Detection (HP)
|
97% |
729
58.0 IPS |
|
|
Object Detection (Q)
|
85% |
1439
115.9 IPS |
|
|
Face Detection (SP)
|
100% |
2170
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
2387
28.4 IPS |
|
|
Face Detection (Q)
|
97% |
3180
37.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2059
15.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
2785
21.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3088
28.3 IPS |
|
|
Style Transfer (SP)
|
89% |
5063
6.57 IPS |
|
|
Style Transfer (HP)
|
88% |
4798
6.23 IPS |
|
|
Style Transfer (Q)
|
98% |
9409
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1027
37.9 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1631
60.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2378
88.1 IPS |
|
|
Text Classification (SP)
|
100% |
385
514.2 IPS |
|
|
Text Classification (HP)
|
100% |
558
745.2 IPS |
|
|
Text Classification (Q)
|
93% |
404
542.9 IPS |
|
|
Machine Translation (SP)
|
100% |
980
16.9 IPS |
|
|
Machine Translation (HP)
|
96% |
912
15.8 IPS |
|
|
Machine Translation (Q)
|
55% |
666
17.9 IPS |
