Google Pixel 8a
Geekbench AI Score
1425
Single Precision Score
1437
Half Precision Score
2180
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2025 03:44 PM |
| Views | 10 |
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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1388
258.1 IPS |
|
|
Image Classification (HP)
|
100% |
1347
250.6 IPS |
|
|
Image Classification (Q)
|
100% |
2356
438.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1586
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1516
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2353
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2570
3.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
2119
2.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
4498
5.34 IPS |
|
|
Object Detection (SP)
|
98% |
990
78.8 IPS |
|
|
Object Detection (HP)
|
98% |
1000
79.6 IPS |
|
|
Object Detection (Q)
|
83% |
1483
119.8 IPS |
|
|
Face Detection (SP)
|
100% |
2229
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
2205
26.2 IPS |
|
|
Face Detection (Q)
|
95% |
3166
37.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2013
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2092
16.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3399
31.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5038
6.54 IPS |
|
|
Style Transfer (HP)
|
89% |
5012
6.51 IPS |
|
|
Style Transfer (Q)
|
98% |
9939
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
965
35.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1007
37.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2378
88.1 IPS |
|
|
Text Classification (SP)
|
100% |
391
522.0 IPS |
|
|
Text Classification (HP)
|
99% |
400
533.4 IPS |
|
|
Text Classification (Q)
|
88% |
558
752.2 IPS |
|
|
Machine Translation (SP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
938
16.2 IPS |
|
|
Machine Translation (Q)
|
50% |
464
16.5 IPS |
