Google Pixel 8a
Geekbench AI Score
606
Single Precision Score
716
Half Precision Score
658
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 15 2024 10:42 AM |
| 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% |
252
46.8 IPS |
|
|
Image Classification (HP)
|
100% |
388
72.1 IPS |
|
|
Image Classification (Q)
|
99% |
250
46.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
881
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
943
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
906
14.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
479
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
664
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
662
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
256
20.3 IPS |
|
|
Object Detection (HP)
|
100% |
323
25.6 IPS |
|
|
Object Detection (Q)
|
83% |
322
26.0 IPS |
|
|
Face Detection (SP)
|
100% |
1237
14.7 IPS |
|
|
Face Detection (HP)
|
100% |
1279
15.2 IPS |
|
|
Face Detection (Q)
|
97% |
1080
12.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
902
6.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
1084
8.35 IPS |
|
|
Depth Estimation (Q)
|
62% |
873
8.26 IPS |
|
|
Style Transfer (SP)
|
100% |
2475
3.18 IPS |
|
|
Style Transfer (HP)
|
100% |
3198
4.11 IPS |
|
|
Style Transfer (Q)
|
98% |
3218
4.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
446
16.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
525
19.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
509
18.8 IPS |
|
|
Text Classification (SP)
|
100% |
374
498.9 IPS |
|
|
Text Classification (HP)
|
100% |
372
496.6 IPS |
|
|
Text Classification (Q)
|
91% |
575
773.1 IPS |
|
|
Machine Translation (SP)
|
100% |
539
9.29 IPS |
|
|
Machine Translation (HP)
|
100% |
528
9.09 IPS |
|
|
Machine Translation (Q)
|
57% |
356
8.70 IPS |
