Google Pixel 8a
Geekbench AI Score
1177
Single Precision Score
1224
Half Precision Score
1723
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 08 2025 01:27 AM |
| 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% |
753
140.0 IPS |
|
|
Image Classification (HP)
|
100% |
1407
261.7 IPS |
|
|
Image Classification (Q)
|
100% |
2215
411.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1484
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1577
25.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2220
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2248
2.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
1803
2.10 IPS |
|
|
Pose Estimation (Q)
|
84% |
3309
3.92 IPS |
|
|
Object Detection (SP)
|
98% |
678
54.0 IPS |
|
|
Object Detection (HP)
|
98% |
679
54.1 IPS |
|
|
Object Detection (Q)
|
83% |
960
77.6 IPS |
|
|
Face Detection (SP)
|
100% |
1605
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
1540
18.3 IPS |
|
|
Face Detection (Q)
|
95% |
2360
28.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1568
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1596
12.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2302
21.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3655
4.75 IPS |
|
|
Style Transfer (HP)
|
89% |
3680
4.78 IPS |
|
|
Style Transfer (Q)
|
98% |
5669
7.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
773
28.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
740
27.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1651
61.2 IPS |
|
|
Text Classification (SP)
|
100% |
447
596.2 IPS |
|
|
Text Classification (HP)
|
99% |
448
597.4 IPS |
|
|
Text Classification (Q)
|
88% |
636
857.5 IPS |
|
|
Machine Translation (SP)
|
100% |
947
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
930
16.0 IPS |
|
|
Machine Translation (Q)
|
50% |
458
16.3 IPS |
