Google Pixel 8a
Geekbench AI Score
1588
Single Precision Score
1532
Half Precision Score
2354
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 01:06 PM |
| Views | 2 |
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% |
1397
259.9 IPS |
|
|
Image Classification (HP)
|
100% |
1019
189.5 IPS |
|
|
Image Classification (Q)
|
100% |
2158
401.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1495
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1527
24.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2278
37.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2420
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2346
2.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
5491
6.51 IPS |
|
|
Object Detection (SP)
|
98% |
1150
91.5 IPS |
|
|
Object Detection (HP)
|
98% |
1216
96.7 IPS |
|
|
Object Detection (Q)
|
83% |
1882
152.0 IPS |
|
|
Face Detection (SP)
|
100% |
2585
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
2595
30.8 IPS |
|
|
Face Detection (Q)
|
95% |
3254
38.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2028
15.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1610
12.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2280
20.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3628
4.71 IPS |
|
|
Style Transfer (HP)
|
89% |
5218
6.77 IPS |
|
|
Style Transfer (Q)
|
98% |
13364
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1324
48.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1357
50.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3346
124.0 IPS |
|
|
Text Classification (SP)
|
100% |
614
819.1 IPS |
|
|
Text Classification (HP)
|
99% |
591
789.3 IPS |
|
|
Text Classification (Q)
|
88% |
891
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1138
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
921
15.9 IPS |
|
|
Machine Translation (Q)
|
50% |
348
12.4 IPS |
