Google Pixel 8a
Geekbench AI Score
1038
Single Precision Score
1073
Half Precision Score
1413
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 16 2025 01:17 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
668
124.2 IPS |
|
|
Image Classification (HP)
|
100% |
658
122.4 IPS |
|
|
Image Classification (Q)
|
100% |
927
172.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
876
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1587
25.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2728
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2576
3.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2137
2.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
3319
3.94 IPS |
|
|
Object Detection (SP)
|
98% |
705
56.1 IPS |
|
|
Object Detection (HP)
|
98% |
711
56.5 IPS |
|
|
Object Detection (Q)
|
83% |
975
78.8 IPS |
|
|
Face Detection (SP)
|
100% |
1645
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
1651
19.6 IPS |
|
|
Face Detection (Q)
|
95% |
2355
28.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
1532
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1509
11.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
2186
20.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3661
4.75 IPS |
|
|
Style Transfer (HP)
|
89% |
3613
4.69 IPS |
|
|
Style Transfer (Q)
|
98% |
7107
9.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
753
27.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
743
27.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1663
61.6 IPS |
|
|
Text Classification (SP)
|
100% |
311
415.3 IPS |
|
|
Text Classification (HP)
|
99% |
307
410.0 IPS |
|
|
Text Classification (Q)
|
88% |
355
478.7 IPS |
|
|
Machine Translation (SP)
|
100% |
633
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
626
10.8 IPS |
|
|
Machine Translation (Q)
|
50% |
180
6.38 IPS |
