Google Pixel 8a
Geekbench AI Score
1159
Single Precision Score
1144
Half Precision Score
1658
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 23 2025 06:44 PM |
| Views | 5 |
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% |
1281
238.2 IPS |
|
|
Image Classification (HP)
|
100% |
1326
246.5 IPS |
|
|
Image Classification (Q)
|
100% |
2295
426.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1563
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1572
25.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2368
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2529
2.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
2038
2.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
3325
3.94 IPS |
|
|
Object Detection (SP)
|
98% |
678
54.0 IPS |
|
|
Object Detection (HP)
|
98% |
675
53.7 IPS |
|
|
Object Detection (Q)
|
83% |
982
79.3 IPS |
|
|
Face Detection (SP)
|
100% |
1583
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
1626
19.3 IPS |
|
|
Face Detection (Q)
|
95% |
2429
29.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1529
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1529
11.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2575
23.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3617
4.69 IPS |
|
|
Style Transfer (HP)
|
89% |
3688
4.79 IPS |
|
|
Style Transfer (Q)
|
98% |
6890
8.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
758
28.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
755
27.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1652
61.2 IPS |
|
|
Text Classification (SP)
|
100% |
306
408.3 IPS |
|
|
Text Classification (HP)
|
99% |
305
407.1 IPS |
|
|
Text Classification (Q)
|
88% |
429
578.8 IPS |
|
|
Machine Translation (SP)
|
100% |
632
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
636
10.9 IPS |
|
|
Machine Translation (Q)
|
50% |
290
10.3 IPS |
