Google Pixel 8a
Geekbench AI Score
1743
Single Precision Score
1962
Half Precision Score
2720
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 04 2026 11:54 PM |
| Views | 7 |
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% |
1491
277.2 IPS |
|
|
Image Classification (HP)
|
100% |
1237
230.1 IPS |
|
|
Image Classification (Q)
|
99% |
2546
474.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1633
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1472
23.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2794
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2823
3.29 IPS |
|
|
Pose Estimation (HP)
|
92% |
5538
6.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
6427
7.53 IPS |
|
|
Object Detection (SP)
|
98% |
1344
106.9 IPS |
|
|
Object Detection (HP)
|
97% |
1077
85.8 IPS |
|
|
Object Detection (Q)
|
85% |
2335
188.2 IPS |
|
|
Face Detection (SP)
|
100% |
2845
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
3579
42.5 IPS |
|
|
Face Detection (Q)
|
97% |
5497
65.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2763
21.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
4231
32.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5130
47.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6664
8.65 IPS |
|
|
Style Transfer (HP)
|
88% |
6269
8.14 IPS |
|
|
Style Transfer (Q)
|
98% |
11697
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1195
44.1 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1627
60.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2453
90.9 IPS |
|
|
Text Classification (SP)
|
100% |
468
624.4 IPS |
|
|
Text Classification (HP)
|
100% |
559
746.5 IPS |
|
|
Text Classification (Q)
|
93% |
386
518.7 IPS |
|
|
Machine Translation (SP)
|
100% |
960
16.5 IPS |
|
|
Machine Translation (HP)
|
96% |
906
15.7 IPS |
|
|
Machine Translation (Q)
|
55% |
665
17.9 IPS |
