Google Pixel 8a
Geekbench AI Score
1615
Single Precision Score
1588
Half Precision Score
2483
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 07:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1363
253.5 IPS |
|
|
Image Classification (HP)
|
100% |
1469
273.1 IPS |
|
|
Image Classification (Q)
|
100% |
2396
445.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1667
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1611
26.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2674
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2814
3.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2726
3.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
6259
7.42 IPS |
|
|
Object Detection (SP)
|
98% |
1343
106.9 IPS |
|
|
Object Detection (HP)
|
98% |
1206
96.0 IPS |
|
|
Object Detection (Q)
|
83% |
2127
171.9 IPS |
|
|
Face Detection (SP)
|
100% |
2568
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
2782
33.1 IPS |
|
|
Face Detection (Q)
|
95% |
4596
54.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2376
18.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2190
16.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3511
32.2 IPS |
|
|
Style Transfer (SP)
|
89% |
5134
6.66 IPS |
|
|
Style Transfer (HP)
|
89% |
5042
6.55 IPS |
|
|
Style Transfer (Q)
|
98% |
9354
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1039
38.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1027
37.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2322
86.0 IPS |
|
|
Text Classification (SP)
|
100% |
450
600.7 IPS |
|
|
Text Classification (HP)
|
99% |
441
588.5 IPS |
|
|
Text Classification (Q)
|
88% |
643
867.4 IPS |
|
|
Machine Translation (SP)
|
100% |
962
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
946
16.3 IPS |
|
|
Machine Translation (Q)
|
50% |
464
16.5 IPS |
