Google Pixel 8a
Geekbench AI Score
553
Single Precision Score
646
Half Precision Score
615
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 03 2025 12:32 PM |
| Views | 2 |
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% |
376
69.9 IPS |
|
|
Image Classification (HP)
|
100% |
380
70.8 IPS |
|
|
Image Classification (Q)
|
99% |
348
64.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
956
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1018
16.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
941
15.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
478
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
670
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
663
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
322
25.5 IPS |
|
|
Object Detection (HP)
|
100% |
405
32.1 IPS |
|
|
Object Detection (Q)
|
83% |
425
34.4 IPS |
|
|
Face Detection (SP)
|
100% |
1216
14.4 IPS |
|
|
Face Detection (HP)
|
100% |
1386
16.5 IPS |
|
|
Face Detection (Q)
|
97% |
1297
15.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
898
6.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
1099
8.47 IPS |
|
|
Depth Estimation (Q)
|
62% |
904
8.55 IPS |
|
|
Style Transfer (SP)
|
100% |
2521
3.24 IPS |
|
|
Style Transfer (HP)
|
100% |
3330
4.28 IPS |
|
|
Style Transfer (Q)
|
98% |
3286
4.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
488
18.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
579
21.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
558
20.7 IPS |
|
|
Text Classification (SP)
|
100% |
165
219.6 IPS |
|
|
Text Classification (HP)
|
100% |
165
219.8 IPS |
|
|
Text Classification (Q)
|
91% |
248
333.3 IPS |
|
|
Machine Translation (SP)
|
100% |
219
3.78 IPS |
|
|
Machine Translation (HP)
|
100% |
251
4.32 IPS |
|
|
Machine Translation (Q)
|
57% |
159
3.90 IPS |
