Google Pixel 8a
Geekbench AI Score
695
Single Precision Score
855
Half Precision Score
837
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | 36cea |
| Upload Date | March 23 2025 03:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
429
79.7 IPS |
|
|
Image Classification (HP)
|
100% |
478
89.0 IPS |
|
|
Image Classification (Q)
|
99% |
455
85.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
747
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1094
17.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1105
18.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
502
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
699
0.82 IPS |
|
|
Pose Estimation (Q)
|
96% |
697
0.82 IPS |
|
|
Object Detection (SP)
|
100% |
374
29.7 IPS |
|
|
Object Detection (HP)
|
100% |
512
40.6 IPS |
|
|
Object Detection (Q)
|
83% |
540
43.7 IPS |
|
|
Face Detection (SP)
|
100% |
1672
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
2245
26.7 IPS |
|
|
Face Detection (Q)
|
97% |
2147
25.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
973
7.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
1196
9.21 IPS |
|
|
Depth Estimation (Q)
|
62% |
969
9.17 IPS |
|
|
Style Transfer (SP)
|
100% |
2618
3.37 IPS |
|
|
Style Transfer (HP)
|
100% |
3412
4.39 IPS |
|
|
Style Transfer (Q)
|
98% |
3387
4.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
543
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
633
23.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
629
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
359
479.2 IPS |
|
|
Text Classification (HP)
|
100% |
368
490.6 IPS |
|
|
Text Classification (Q)
|
91% |
573
770.6 IPS |
|
|
Machine Translation (SP)
|
100% |
532
9.17 IPS |
|
|
Machine Translation (HP)
|
100% |
525
9.04 IPS |
|
|
Machine Translation (Q)
|
57% |
355
8.68 IPS |
