Google Pixel 8a
Geekbench AI Score
915
Single Precision Score
1330
Half Precision Score
1016
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 23 2025 06:48 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
407
75.8 IPS |
|
|
Image Classification (HP)
|
100% |
462
85.9 IPS |
|
|
Image Classification (Q)
|
97% |
398
74.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1343
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1932
31.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1496
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4960
5.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
12363
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12112
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
484
38.4 IPS |
|
|
Object Detection (HP)
|
99% |
599
47.5 IPS |
|
|
Object Detection (Q)
|
83% |
530
42.8 IPS |
|
|
Face Detection (SP)
|
100% |
2160
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
2390
28.4 IPS |
|
|
Face Detection (Q)
|
96% |
2443
29.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3269
25.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5481
42.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
4408
41.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7516
9.66 IPS |
|
|
Style Transfer (HP)
|
100% |
19568
25.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18437
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1665
61.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2148
79.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1992
73.8 IPS |
|
|
Text Classification (SP)
|
35% |
16
142.4 IPS |
|
|
Text Classification (HP)
|
35% |
17
154.8 IPS |
|
|
Text Classification (Q)
|
32% |
12
156.3 IPS |
|
|
Machine Translation (SP)
|
100% |
223
3.84 IPS |
|
|
Machine Translation (HP)
|
100% |
280
4.82 IPS |
|
|
Machine Translation (Q)
|
43% |
65
3.77 IPS |
