Google Pixel 8a
Geekbench AI Score
1876
Single Precision Score
1898
Half Precision Score
3136
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | June 04 2025 01:48 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1088
202.3 IPS |
|
|
Image Classification (HP)
|
100% |
1313
244.1 IPS |
|
|
Image Classification (Q)
|
100% |
2432
452.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1640
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1685
27.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2535
41.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3009
3.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
2837
3.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
6517
7.73 IPS |
|
|
Object Detection (SP)
|
98% |
1416
112.7 IPS |
|
|
Object Detection (HP)
|
98% |
1381
109.9 IPS |
|
|
Object Detection (Q)
|
83% |
2333
188.4 IPS |
|
|
Face Detection (SP)
|
100% |
3006
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
2998
35.6 IPS |
|
|
Face Detection (Q)
|
95% |
5272
62.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2745
21.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2884
22.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5199
47.6 IPS |
|
|
Style Transfer (SP)
|
89% |
6923
8.99 IPS |
|
|
Style Transfer (HP)
|
89% |
6744
8.76 IPS |
|
|
Style Transfer (Q)
|
98% |
13830
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1400
51.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1408
52.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3717
137.7 IPS |
|
|
Text Classification (SP)
|
100% |
696
928.6 IPS |
|
|
Text Classification (HP)
|
99% |
689
919.2 IPS |
|
|
Text Classification (Q)
|
88% |
1107
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1279
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1243
21.4 IPS |
|
|
Machine Translation (Q)
|
50% |
631
22.4 IPS |
