Google Pixel 8a
Geekbench AI Score
914
Single Precision Score
1339
Half Precision Score
1021
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | March 31 2026 08:39 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
406
75.6 IPS |
|
|
Image Classification (HP)
|
100% |
478
88.9 IPS |
|
|
Image Classification (Q)
|
97% |
324
60.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1307
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1797
29.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2006
32.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4897
5.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
12003
14.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11798
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
486
38.5 IPS |
|
|
Object Detection (HP)
|
99% |
589
46.8 IPS |
|
|
Object Detection (Q)
|
83% |
560
45.2 IPS |
|
|
Face Detection (SP)
|
100% |
2077
24.7 IPS |
|
|
Face Detection (HP)
|
100% |
2545
30.2 IPS |
|
|
Face Detection (Q)
|
96% |
2228
26.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3243
25.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
5544
42.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
4346
41.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7485
9.62 IPS |
|
|
Style Transfer (HP)
|
100% |
19555
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
18473
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1697
62.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2174
80.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2062
76.4 IPS |
|
|
Text Classification (SP)
|
35% |
16
143.4 IPS |
|
|
Text Classification (HP)
|
35% |
18
159.8 IPS |
|
|
Text Classification (Q)
|
32% |
12
158.8 IPS |
|
|
Machine Translation (SP)
|
100% |
236
4.07 IPS |
|
|
Machine Translation (HP)
|
100% |
284
4.90 IPS |
|
|
Machine Translation (Q)
|
43% |
65
3.77 IPS |
