Google Pixel 8a
Geekbench AI Score
1265
Single Precision Score
1239
Half Precision Score
1833
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 02 2025 02:37 AM |
| Views | 9 |
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% |
1276
237.2 IPS |
|
|
Image Classification (HP)
|
100% |
1326
246.5 IPS |
|
|
Image Classification (Q)
|
100% |
2323
432.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1603
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1581
25.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2136
34.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2260
2.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
2057
2.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
3620
4.29 IPS |
|
|
Object Detection (SP)
|
98% |
829
65.9 IPS |
|
|
Object Detection (HP)
|
98% |
681
54.2 IPS |
|
|
Object Detection (Q)
|
83% |
987
79.7 IPS |
|
|
Face Detection (SP)
|
100% |
1586
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
1621
19.3 IPS |
|
|
Face Detection (Q)
|
95% |
2308
27.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1542
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1552
12.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2373
21.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3681
4.78 IPS |
|
|
Style Transfer (HP)
|
89% |
3715
4.82 IPS |
|
|
Style Transfer (Q)
|
98% |
6762
8.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
700
25.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
725
26.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2389
88.5 IPS |
|
|
Text Classification (SP)
|
100% |
457
610.5 IPS |
|
|
Text Classification (HP)
|
99% |
450
600.5 IPS |
|
|
Text Classification (Q)
|
88% |
640
862.8 IPS |
|
|
Machine Translation (SP)
|
100% |
952
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
959
16.5 IPS |
|
|
Machine Translation (Q)
|
50% |
427
15.1 IPS |
