Google Pixel 8a
Geekbench AI Score
1686
Single Precision Score
1917
Half Precision Score
2685
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | March 25 2026 09:02 AM |
| Views | 6 |
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% |
1532
284.9 IPS |
|
|
Image Classification (HP)
|
100% |
1249
232.3 IPS |
|
|
Image Classification (Q)
|
99% |
2565
478.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1692
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2625
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2846
3.32 IPS |
|
|
Pose Estimation (HP)
|
92% |
5570
6.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
6443
7.55 IPS |
|
|
Object Detection (SP)
|
98% |
1255
99.8 IPS |
|
|
Object Detection (HP)
|
97% |
1101
87.6 IPS |
|
|
Object Detection (Q)
|
85% |
2245
180.9 IPS |
|
|
Face Detection (SP)
|
100% |
2990
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
3599
42.8 IPS |
|
|
Face Detection (Q)
|
97% |
5092
60.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2568
19.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3831
29.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4334
39.8 IPS |
|
|
Style Transfer (SP)
|
89% |
6124
7.95 IPS |
|
|
Style Transfer (HP)
|
88% |
4944
6.42 IPS |
|
|
Style Transfer (Q)
|
98% |
9906
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1050
38.8 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1636
60.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2450
90.8 IPS |
|
|
Text Classification (SP)
|
100% |
428
571.6 IPS |
|
|
Text Classification (HP)
|
100% |
584
779.9 IPS |
|
|
Text Classification (Q)
|
93% |
645
865.6 IPS |
|
|
Machine Translation (SP)
|
100% |
951
16.4 IPS |
|
|
Machine Translation (HP)
|
96% |
881
15.2 IPS |
|
|
Machine Translation (Q)
|
55% |
579
15.6 IPS |
