Google Pixel 8a
Geekbench AI Score
1198
Single Precision Score
1176
Half Precision Score
1722
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 19 2025 02:35 AM |
| Views | 6 |
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% |
1280
238.0 IPS |
|
|
Image Classification (HP)
|
100% |
1418
263.8 IPS |
|
|
Image Classification (Q)
|
100% |
2433
452.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1578
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1429
23.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2196
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2387
2.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
1922
2.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
3304
3.92 IPS |
|
|
Object Detection (SP)
|
98% |
717
57.1 IPS |
|
|
Object Detection (HP)
|
98% |
650
51.7 IPS |
|
|
Object Detection (Q)
|
83% |
999
80.7 IPS |
|
|
Face Detection (SP)
|
100% |
1612
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
1591
18.9 IPS |
|
|
Face Detection (Q)
|
95% |
2346
28.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1487
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1564
12.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2342
21.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3602
4.68 IPS |
|
|
Style Transfer (HP)
|
89% |
3681
4.78 IPS |
|
|
Style Transfer (Q)
|
98% |
6868
8.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
712
26.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
749
27.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1705
63.2 IPS |
|
|
Text Classification (SP)
|
100% |
309
412.8 IPS |
|
|
Text Classification (HP)
|
99% |
310
413.8 IPS |
|
|
Text Classification (Q)
|
88% |
468
631.7 IPS |
|
|
Machine Translation (SP)
|
100% |
934
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
947
16.3 IPS |
|
|
Machine Translation (Q)
|
50% |
432
15.4 IPS |
