Google Pixel 8a
Geekbench AI Score
1509
Single Precision Score
1633
Half Precision Score
2160
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | March 08 2026 09:16 AM |
| Views | 10 |
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% |
1387
257.9 IPS |
|
|
Image Classification (HP)
|
100% |
1178
219.1 IPS |
|
|
Image Classification (Q)
|
99% |
2474
461.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1647
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1457
23.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2389
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2622
3.06 IPS |
|
|
Pose Estimation (HP)
|
92% |
4054
4.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
4555
5.34 IPS |
|
|
Object Detection (SP)
|
98% |
1006
80.1 IPS |
|
|
Object Detection (HP)
|
97% |
681
54.2 IPS |
|
|
Object Detection (Q)
|
85% |
1472
118.6 IPS |
|
|
Face Detection (SP)
|
100% |
2188
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
2323
27.6 IPS |
|
|
Face Detection (Q)
|
97% |
3235
38.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2034
15.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
2961
22.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3387
31.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5066
6.58 IPS |
|
|
Style Transfer (HP)
|
88% |
4699
6.10 IPS |
|
|
Style Transfer (Q)
|
98% |
9533
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1030
38.0 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1678
62.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2242
83.1 IPS |
|
|
Text Classification (SP)
|
100% |
435
580.6 IPS |
|
|
Text Classification (HP)
|
100% |
565
753.9 IPS |
|
|
Text Classification (Q)
|
93% |
369
495.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1011
17.4 IPS |
|
|
Machine Translation (HP)
|
96% |
932
16.1 IPS |
|
|
Machine Translation (Q)
|
55% |
646
17.4 IPS |
