Google Pixel 8a
Geekbench AI Score
1398
Single Precision Score
1397
Half Precision Score
2136
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | DoctorMurk |
| Upload Date | February 05 2025 02:22 PM |
| Views | 20 |
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 | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1033
192.0 IPS |
|
|
Image Classification (HP)
|
100% |
994
184.8 IPS |
|
|
Image Classification (Q)
|
100% |
2269
421.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1423
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1427
23.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2176
35.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2370
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
2114
2.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
4564
5.41 IPS |
|
|
Object Detection (SP)
|
98% |
993
79.0 IPS |
|
|
Object Detection (HP)
|
98% |
984
78.3 IPS |
|
|
Object Detection (Q)
|
83% |
1340
108.2 IPS |
|
|
Face Detection (SP)
|
100% |
2173
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
2148
25.5 IPS |
|
|
Face Detection (Q)
|
95% |
3162
37.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2128
16.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2108
16.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3206
29.4 IPS |
|
|
Style Transfer (SP)
|
89% |
5015
6.51 IPS |
|
|
Style Transfer (HP)
|
89% |
5054
6.56 IPS |
|
|
Style Transfer (Q)
|
98% |
9614
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1038
38.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1054
38.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2403
89.0 IPS |
|
|
Text Classification (SP)
|
100% |
403
538.2 IPS |
|
|
Text Classification (HP)
|
99% |
446
595.4 IPS |
|
|
Text Classification (Q)
|
88% |
630
849.2 IPS |
|
|
Machine Translation (SP)
|
100% |
853
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
896
15.4 IPS |
|
|
Machine Translation (Q)
|
50% |
444
15.8 IPS |
