Google Pixel 8a
Geekbench AI Score
638
Single Precision Score
727
Half Precision Score
706
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 22 2024 12:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
373
69.4 IPS |
|
|
Image Classification (HP)
|
100% |
391
72.7 IPS |
|
|
Image Classification (Q)
|
99% |
353
65.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
835
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
957
15.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
882
14.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
487
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
689
0.80 IPS |
|
|
Pose Estimation (Q)
|
96% |
688
0.81 IPS |
|
|
Object Detection (SP)
|
100% |
271
21.5 IPS |
|
|
Object Detection (HP)
|
100% |
309
24.5 IPS |
|
|
Object Detection (Q)
|
83% |
388
31.4 IPS |
|
|
Face Detection (SP)
|
100% |
1270
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
1333
15.8 IPS |
|
|
Face Detection (Q)
|
97% |
1202
14.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
913
7.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
1116
8.59 IPS |
|
|
Depth Estimation (Q)
|
62% |
885
8.38 IPS |
|
|
Style Transfer (SP)
|
100% |
2543
3.27 IPS |
|
|
Style Transfer (HP)
|
100% |
3270
4.20 IPS |
|
|
Style Transfer (Q)
|
98% |
3260
4.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
458
16.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
528
19.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
522
19.3 IPS |
|
|
Text Classification (SP)
|
100% |
371
495.3 IPS |
|
|
Text Classification (HP)
|
100% |
377
503.7 IPS |
|
|
Text Classification (Q)
|
91% |
574
770.9 IPS |
|
|
Machine Translation (SP)
|
100% |
547
9.42 IPS |
|
|
Machine Translation (HP)
|
100% |
535
9.22 IPS |
|
|
Machine Translation (Q)
|
57% |
359
8.78 IPS |
