Google Pixel 8a
Geekbench AI Score
1310
Single Precision Score
1255
Half Precision Score
1851
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 06 2025 08:22 PM |
| 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% |
1312
244.1 IPS |
|
|
Image Classification (HP)
|
100% |
1355
252.0 IPS |
|
|
Image Classification (Q)
|
100% |
2343
435.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1450
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1566
25.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2330
37.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2562
2.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2165
2.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
4309
5.11 IPS |
|
|
Object Detection (SP)
|
98% |
763
60.8 IPS |
|
|
Object Detection (HP)
|
98% |
723
57.6 IPS |
|
|
Object Detection (Q)
|
83% |
981
79.3 IPS |
|
|
Face Detection (SP)
|
100% |
1647
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
1609
19.1 IPS |
|
|
Face Detection (Q)
|
95% |
2310
27.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2030
15.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2006
15.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3376
30.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5030
6.53 IPS |
|
|
Style Transfer (HP)
|
89% |
5021
6.52 IPS |
|
|
Style Transfer (Q)
|
98% |
9654
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1029
38.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
911
33.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1760
65.2 IPS |
|
|
Text Classification (SP)
|
100% |
351
467.9 IPS |
|
|
Text Classification (HP)
|
99% |
306
408.0 IPS |
|
|
Text Classification (Q)
|
88% |
510
688.1 IPS |
|
|
Machine Translation (SP)
|
100% |
659
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
649
11.2 IPS |
|
|
Machine Translation (Q)
|
50% |
304
10.8 IPS |
