Google Pixel 8a
Geekbench AI Score
1500
Single Precision Score
1642
Half Precision Score
2341
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | February 14 2026 09:19 AM |
| 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 | 7.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1528
284.2 IPS |
|
|
Image Classification (HP)
|
100% |
1180
219.4 IPS |
|
|
Image Classification (Q)
|
99% |
2315
431.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1525
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1443
23.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2797
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2591
3.02 IPS |
|
|
Pose Estimation (HP)
|
92% |
4072
4.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
4779
5.60 IPS |
|
|
Object Detection (SP)
|
98% |
973
77.5 IPS |
|
|
Object Detection (HP)
|
97% |
721
57.4 IPS |
|
|
Object Detection (Q)
|
85% |
1449
116.7 IPS |
|
|
Face Detection (SP)
|
100% |
2179
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
2315
27.5 IPS |
|
|
Face Detection (Q)
|
97% |
3382
40.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2066
16.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2931
22.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3311
30.4 IPS |
|
|
Style Transfer (SP)
|
89% |
4996
6.49 IPS |
|
|
Style Transfer (HP)
|
88% |
4719
6.13 IPS |
|
|
Style Transfer (Q)
|
98% |
9378
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1002
37.0 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1660
61.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2389
88.5 IPS |
|
|
Text Classification (SP)
|
100% |
434
579.8 IPS |
|
|
Text Classification (HP)
|
100% |
620
827.2 IPS |
|
|
Text Classification (Q)
|
93% |
671
900.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1008
17.4 IPS |
|
|
Machine Translation (HP)
|
96% |
865
15.0 IPS |
|
|
Machine Translation (Q)
|
55% |
657
17.6 IPS |
