Google Pixel 8a
Geekbench AI Score
1483
Single Precision Score
1529
Half Precision Score
2286
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 09:38 AM |
| Views | 4 |
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% |
1419
263.9 IPS |
|
|
Image Classification (HP)
|
100% |
1215
225.9 IPS |
|
|
Image Classification (Q)
|
99% |
2410
449.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1491
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1409
22.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2727
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2635
3.08 IPS |
|
|
Pose Estimation (HP)
|
92% |
4033
4.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
4768
5.59 IPS |
|
|
Object Detection (SP)
|
98% |
991
78.8 IPS |
|
|
Object Detection (HP)
|
97% |
674
53.7 IPS |
|
|
Object Detection (Q)
|
85% |
1469
118.4 IPS |
|
|
Face Detection (SP)
|
100% |
2153
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
2302
27.4 IPS |
|
|
Face Detection (Q)
|
97% |
3435
41.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2035
15.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
2914
22.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3323
30.5 IPS |
|
|
Style Transfer (SP)
|
89% |
4973
6.46 IPS |
|
|
Style Transfer (HP)
|
88% |
4739
6.15 IPS |
|
|
Style Transfer (Q)
|
98% |
9495
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1002
37.0 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1593
59.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2470
91.5 IPS |
|
|
Text Classification (SP)
|
100% |
432
576.7 IPS |
|
|
Text Classification (HP)
|
100% |
328
437.9 IPS |
|
|
Text Classification (Q)
|
93% |
476
639.2 IPS |
|
|
Machine Translation (SP)
|
100% |
992
17.1 IPS |
|
|
Machine Translation (HP)
|
96% |
907
15.7 IPS |
|
|
Machine Translation (Q)
|
55% |
665
17.8 IPS |
