Google Pixel 8a
Geekbench AI Score
1396
Single Precision Score
1341
Half Precision Score
1846
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | DoctorMurk |
| Upload Date | October 09 2025 09:17 PM |
| Views | 13 |
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% |
1485
276.2 IPS |
|
|
Image Classification (HP)
|
100% |
1437
267.2 IPS |
|
|
Image Classification (Q)
|
100% |
1217
226.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1581
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1432
23.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1329
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2360
2.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
2043
2.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
4539
5.38 IPS |
|
|
Object Detection (SP)
|
98% |
973
77.4 IPS |
|
|
Object Detection (HP)
|
98% |
986
78.4 IPS |
|
|
Object Detection (Q)
|
83% |
1549
125.1 IPS |
|
|
Face Detection (SP)
|
100% |
2147
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
2165
25.7 IPS |
|
|
Face Detection (Q)
|
95% |
3359
40.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2004
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2117
16.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3362
30.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4443
5.77 IPS |
|
|
Style Transfer (HP)
|
89% |
3731
4.84 IPS |
|
|
Style Transfer (Q)
|
98% |
6739
8.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
760
28.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
747
27.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1698
62.9 IPS |
|
|
Text Classification (SP)
|
100% |
405
540.8 IPS |
|
|
Text Classification (HP)
|
99% |
401
535.8 IPS |
|
|
Text Classification (Q)
|
88% |
694
935.6 IPS |
|
|
Machine Translation (SP)
|
100% |
891
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
892
15.4 IPS |
|
|
Machine Translation (Q)
|
50% |
452
16.1 IPS |
