Google Pixel 8a
Geekbench AI Score
692
Single Precision Score
952
Half Precision Score
923
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 11 2025 07:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| 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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
399
74.1 IPS |
|
|
Image Classification (HP)
|
100% |
435
81.0 IPS |
|
|
Image Classification (Q)
|
99% |
400
74.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
741
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1233
20.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1174
19.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
503
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
939
1.10 IPS |
|
|
Pose Estimation (Q)
|
96% |
930
1.09 IPS |
|
|
Object Detection (SP)
|
100% |
366
29.0 IPS |
|
|
Object Detection (HP)
|
100% |
510
40.4 IPS |
|
|
Object Detection (Q)
|
83% |
517
41.9 IPS |
|
|
Face Detection (SP)
|
100% |
1588
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
2050
24.4 IPS |
|
|
Face Detection (Q)
|
97% |
1810
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
918
7.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
1643
12.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
1322
12.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2762
3.55 IPS |
|
|
Style Transfer (HP)
|
100% |
4583
5.89 IPS |
|
|
Style Transfer (Q)
|
98% |
4607
5.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
529
19.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
822
30.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
788
29.2 IPS |
|
|
Text Classification (SP)
|
100% |
394
526.5 IPS |
|
|
Text Classification (HP)
|
100% |
343
458.5 IPS |
|
|
Text Classification (Q)
|
91% |
619
832.2 IPS |
|
|
Machine Translation (SP)
|
100% |
559
9.63 IPS |
|
|
Machine Translation (HP)
|
100% |
552
9.51 IPS |
|
|
Machine Translation (Q)
|
57% |
373
9.11 IPS |
