Google Pixel 8a
Geekbench AI Score
606
Single Precision Score
717
Half Precision Score
694
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 24 2024 12:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
261
48.6 IPS |
|
|
Image Classification (HP)
|
100% |
393
73.2 IPS |
|
|
Image Classification (Q)
|
99% |
397
74.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
875
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
943
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
873
14.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
478
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
663
0.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
660
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
250
19.8 IPS |
|
|
Object Detection (HP)
|
100% |
292
23.2 IPS |
|
|
Object Detection (Q)
|
83% |
340
27.5 IPS |
|
|
Face Detection (SP)
|
100% |
1222
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
1385
16.5 IPS |
|
|
Face Detection (Q)
|
97% |
1136
13.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
901
6.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
1089
8.39 IPS |
|
|
Depth Estimation (Q)
|
62% |
885
8.37 IPS |
|
|
Style Transfer (SP)
|
100% |
2458
3.16 IPS |
|
|
Style Transfer (HP)
|
100% |
3250
4.18 IPS |
|
|
Style Transfer (Q)
|
98% |
3175
4.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
447
16.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
520
19.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
502
18.6 IPS |
|
|
Text Classification (SP)
|
100% |
376
501.3 IPS |
|
|
Text Classification (HP)
|
100% |
370
494.0 IPS |
|
|
Text Classification (Q)
|
91% |
573
770.1 IPS |
|
|
Machine Translation (SP)
|
100% |
544
9.36 IPS |
|
|
Machine Translation (HP)
|
100% |
536
9.23 IPS |
|
|
Machine Translation (Q)
|
57% |
366
8.94 IPS |
