Google Pixel 8a
Geekbench AI Score
1241
Single Precision Score
1222
Half Precision Score
1820
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 22 2025 02:03 AM |
| Views | 3 |
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% |
1293
240.5 IPS |
|
|
Image Classification (HP)
|
100% |
1261
234.6 IPS |
|
|
Image Classification (Q)
|
100% |
2386
443.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1579
25.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2404
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2543
2.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
2120
2.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
4441
5.27 IPS |
|
|
Object Detection (SP)
|
98% |
789
62.8 IPS |
|
|
Object Detection (HP)
|
98% |
682
54.3 IPS |
|
|
Object Detection (Q)
|
83% |
768
62.1 IPS |
|
|
Face Detection (SP)
|
100% |
1613
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
1647
19.6 IPS |
|
|
Face Detection (Q)
|
95% |
2360
28.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1532
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2070
16.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3314
30.4 IPS |
|
|
Style Transfer (SP)
|
89% |
5051
6.56 IPS |
|
|
Style Transfer (HP)
|
89% |
4985
6.47 IPS |
|
|
Style Transfer (Q)
|
98% |
9118
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
853
31.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
750
27.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1663
61.6 IPS |
|
|
Text Classification (SP)
|
100% |
309
412.1 IPS |
|
|
Text Classification (HP)
|
99% |
326
435.7 IPS |
|
|
Text Classification (Q)
|
88% |
432
582.5 IPS |
|
|
Machine Translation (SP)
|
100% |
633
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
622
10.7 IPS |
|
|
Machine Translation (Q)
|
50% |
399
14.2 IPS |
