Google Pixel 8a
Geekbench AI Score
582
Single Precision Score
714
Half Precision Score
653
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2025 03:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
250
46.5 IPS |
|
|
Image Classification (HP)
|
100% |
391
72.7 IPS |
|
|
Image Classification (Q)
|
99% |
316
59.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
907
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1010
16.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
950
15.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
479
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
671
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
665
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
323
25.7 IPS |
|
|
Object Detection (HP)
|
100% |
417
33.1 IPS |
|
|
Object Detection (Q)
|
83% |
424
34.3 IPS |
|
|
Face Detection (SP)
|
100% |
1279
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
1603
19.1 IPS |
|
|
Face Detection (Q)
|
97% |
1304
15.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
908
7.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
1109
8.55 IPS |
|
|
Depth Estimation (Q)
|
62% |
900
8.52 IPS |
|
|
Style Transfer (SP)
|
100% |
2506
3.22 IPS |
|
|
Style Transfer (HP)
|
100% |
3336
4.29 IPS |
|
|
Style Transfer (Q)
|
98% |
3278
4.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
493
18.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
592
21.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
554
20.5 IPS |
|
|
Text Classification (SP)
|
100% |
165
220.4 IPS |
|
|
Text Classification (HP)
|
100% |
166
221.8 IPS |
|
|
Text Classification (Q)
|
91% |
248
332.8 IPS |
|
|
Machine Translation (SP)
|
100% |
546
9.41 IPS |
|
|
Machine Translation (HP)
|
100% |
542
9.33 IPS |
|
|
Machine Translation (Q)
|
57% |
316
7.71 IPS |
