Google Pixel 8a
Geekbench AI Score
1270
Single Precision Score
1310
Half Precision Score
1899
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 09:58 PM |
| Views | 4 |
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% |
1331
247.4 IPS |
|
|
Image Classification (HP)
|
100% |
1381
256.8 IPS |
|
|
Image Classification (Q)
|
100% |
2438
453.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1531
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1622
26.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2505
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2411
2.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
2080
2.43 IPS |
|
|
Pose Estimation (Q)
|
84% |
3897
4.62 IPS |
|
|
Object Detection (SP)
|
98% |
670
53.3 IPS |
|
|
Object Detection (HP)
|
98% |
692
55.1 IPS |
|
|
Object Detection (Q)
|
83% |
975
78.8 IPS |
|
|
Face Detection (SP)
|
100% |
1626
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
1619
19.2 IPS |
|
|
Face Detection (Q)
|
95% |
2393
28.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2068
16.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2108
16.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3077
28.2 IPS |
|
|
Style Transfer (SP)
|
89% |
5051
6.56 IPS |
|
|
Style Transfer (HP)
|
89% |
5048
6.55 IPS |
|
|
Style Transfer (Q)
|
98% |
9610
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
975
36.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
902
33.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1757
65.1 IPS |
|
|
Text Classification (SP)
|
100% |
313
418.4 IPS |
|
|
Text Classification (HP)
|
99% |
310
413.8 IPS |
|
|
Text Classification (Q)
|
88% |
453
610.4 IPS |
|
|
Machine Translation (SP)
|
100% |
640
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
961
16.5 IPS |
|
|
Machine Translation (Q)
|
50% |
467
16.6 IPS |
