Google Pixel 8a
Geekbench AI Score
606
Single Precision Score
717
Half Precision Score
648
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | March 28 2025 11:13 AM |
| Views | 12 |
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% |
360
67.0 IPS |
|
|
Image Classification (HP)
|
100% |
391
72.7 IPS |
|
|
Image Classification (Q)
|
99% |
315
58.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
910
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1086
17.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1019
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
479
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
670
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
665
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
335
26.6 IPS |
|
|
Object Detection (HP)
|
100% |
422
33.5 IPS |
|
|
Object Detection (Q)
|
83% |
426
34.5 IPS |
|
|
Face Detection (SP)
|
100% |
1283
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
1576
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
1321
15.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
899
6.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
1119
8.62 IPS |
|
|
Depth Estimation (Q)
|
62% |
898
8.50 IPS |
|
|
Style Transfer (SP)
|
100% |
2526
3.25 IPS |
|
|
Style Transfer (HP)
|
100% |
3351
4.31 IPS |
|
|
Style Transfer (Q)
|
98% |
3326
4.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
490
18.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
580
21.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
563
20.8 IPS |
|
|
Text Classification (SP)
|
100% |
165
219.9 IPS |
|
|
Text Classification (HP)
|
100% |
165
220.8 IPS |
|
|
Text Classification (Q)
|
91% |
248
333.2 IPS |
|
|
Machine Translation (SP)
|
100% |
543
9.36 IPS |
|
|
Machine Translation (HP)
|
100% |
529
9.12 IPS |
|
|
Machine Translation (Q)
|
57% |
262
6.40 IPS |
