Google Pixel 8a
Geekbench AI Score
342
Single Precision Score
3979
Half Precision Score
7310
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | December 12 2025 03:22 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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 | 7.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
234
43.5 IPS |
|
|
Image Classification (HP)
|
100% |
5424
1.01 KIPS |
|
|
Image Classification (Q)
|
99% |
7665
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
297
4.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
7252
117.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
15530
252.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
358
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
30552
35.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
62984
73.8 IPS |
|
|
Object Detection (SP)
|
100% |
214
17.0 IPS |
|
|
Object Detection (HP)
|
100% |
3832
304.0 IPS |
|
|
Object Detection (Q)
|
87% |
5538
444.2 IPS |
|
|
Face Detection (SP)
|
100% |
467
5.55 IPS |
|
|
Face Detection (HP)
|
100% |
12032
143.0 IPS |
|
|
Face Detection (Q)
|
97% |
30468
363.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
472
3.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
27859
214.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
38748
356.7 IPS |
|
|
Style Transfer (SP)
|
100% |
639
0.82 IPS |
|
|
Style Transfer (HP)
|
100% |
635
0.82 IPS |
|
|
Style Transfer (Q)
|
98% |
1520
1.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
244
9.02 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7614
281.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14500
537.3 IPS |
|
|
Text Classification (SP)
|
100% |
269
359.2 IPS |
|
|
Text Classification (HP)
|
100% |
293
391.5 IPS |
|
|
Text Classification (Q)
|
92% |
1372
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
452
7.79 IPS |
|
|
Machine Translation (HP)
|
100% |
456
7.85 IPS |
|
|
Machine Translation (Q)
|
57% |
294
7.18 IPS |
