Google Pixel 8a
Geekbench AI Score
674
Single Precision Score
806
Half Precision Score
796
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 08 2025 07:58 AM |
| 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
74.2 IPS |
|
|
Image Classification (HP)
|
100% |
450
83.7 IPS |
|
|
Image Classification (Q)
|
99% |
419
78.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
733
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1056
17.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1018
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
500
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
698
0.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
693
0.81 IPS |
|
|
Object Detection (SP)
|
100% |
351
27.9 IPS |
|
|
Object Detection (HP)
|
100% |
466
37.0 IPS |
|
|
Object Detection (Q)
|
83% |
484
39.2 IPS |
|
|
Face Detection (SP)
|
100% |
1485
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
1730
20.6 IPS |
|
|
Face Detection (Q)
|
97% |
1601
19.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
957
7.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
1161
8.95 IPS |
|
|
Depth Estimation (Q)
|
62% |
952
9.01 IPS |
|
|
Style Transfer (SP)
|
100% |
2613
3.36 IPS |
|
|
Style Transfer (HP)
|
100% |
3406
4.38 IPS |
|
|
Style Transfer (Q)
|
98% |
3383
4.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
532
19.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
619
22.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
603
22.3 IPS |
|
|
Text Classification (SP)
|
100% |
342
457.1 IPS |
|
|
Text Classification (HP)
|
100% |
317
423.4 IPS |
|
|
Text Classification (Q)
|
91% |
615
827.1 IPS |
|
|
Machine Translation (SP)
|
100% |
564
9.72 IPS |
|
|
Machine Translation (HP)
|
100% |
560
9.65 IPS |
|
|
Machine Translation (Q)
|
57% |
377
9.22 IPS |
