Google Pixel 8a (2024) Google Pixel 8a
Geekbench AI Score
1270
Single Precision Score
226
Half Precision Score
1491
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | slimg |
| Upload Date | July 03 2025 08:24 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 7.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1103
205.2 IPS |
|
|
Image Classification (HP)
|
100% |
62
11.6 IPS |
|
|
Image Classification (Q)
|
100% |
1595
296.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1349
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
275
4.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
2053
33.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2581
3.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
822
0.96 IPS |
|
|
Pose Estimation (Q)
|
84% |
4527
5.37 IPS |
|
|
Object Detection (SP)
|
98% |
771
61.4 IPS |
|
|
Object Detection (HP)
|
100% |
68
5.40 IPS |
|
|
Object Detection (Q)
|
83% |
928
74.9 IPS |
|
|
Face Detection (SP)
|
100% |
1755
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
349
4.15 IPS |
|
|
Face Detection (Q)
|
95% |
2172
25.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
1855
14.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
395
3.05 IPS |
|
|
Depth Estimation (Q)
|
64% |
2252
20.6 IPS |
|
|
Style Transfer (SP)
|
89% |
5002
6.49 IPS |
|
|
Style Transfer (HP)
|
90% |
1490
1.93 IPS |
|
|
Style Transfer (Q)
|
98% |
8222
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
866
32.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
134
4.95 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1643
60.9 IPS |
|
|
Text Classification (SP)
|
100% |
343
458.4 IPS |
|
|
Text Classification (HP)
|
99% |
395
527.2 IPS |
|
|
Text Classification (Q)
|
88% |
323
435.2 IPS |
|
|
Machine Translation (SP)
|
100% |
767
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
34
0.59 IPS |
|
|
Machine Translation (Q)
|
50% |
185
6.57 IPS |
