Google Pixel 8a
Geekbench AI Score
1255
Single Precision Score
1255
Half Precision Score
1898
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 04 2025 12:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1336
248.4 IPS |
|
|
Image Classification (HP)
|
100% |
1347
250.6 IPS |
|
|
Image Classification (Q)
|
100% |
2282
424.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1527
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1423
23.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2367
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2330
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2017
2.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
3466
4.11 IPS |
|
|
Object Detection (SP)
|
98% |
669
53.2 IPS |
|
|
Object Detection (HP)
|
98% |
713
56.7 IPS |
|
|
Object Detection (Q)
|
83% |
1052
85.0 IPS |
|
|
Face Detection (SP)
|
100% |
1647
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
1627
19.3 IPS |
|
|
Face Detection (Q)
|
95% |
2309
27.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
1593
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1578
12.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2410
22.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3736
4.85 IPS |
|
|
Style Transfer (HP)
|
89% |
3714
4.82 IPS |
|
|
Style Transfer (Q)
|
98% |
6875
8.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
728
26.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
861
31.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2358
87.4 IPS |
|
|
Text Classification (SP)
|
100% |
456
609.1 IPS |
|
|
Text Classification (HP)
|
99% |
448
597.5 IPS |
|
|
Text Classification (Q)
|
88% |
737
994.5 IPS |
|
|
Machine Translation (SP)
|
100% |
940
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
958
16.5 IPS |
|
|
Machine Translation (Q)
|
50% |
464
16.5 IPS |
