Google Pixel 8a
Geekbench AI Score
645
Single Precision Score
742
Half Precision Score
692
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 19 2024 02:03 PM |
| Views | 2 |
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% |
345
64.1 IPS |
|
|
Image Classification (HP)
|
100% |
392
72.8 IPS |
|
|
Image Classification (Q)
|
99% |
332
61.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
840
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
995
16.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
942
15.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
485
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
689
0.80 IPS |
|
|
Pose Estimation (Q)
|
96% |
685
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
341
27.0 IPS |
|
|
Object Detection (HP)
|
100% |
383
30.4 IPS |
|
|
Object Detection (Q)
|
83% |
385
31.1 IPS |
|
|
Face Detection (SP)
|
100% |
1236
14.7 IPS |
|
|
Face Detection (HP)
|
100% |
1351
16.1 IPS |
|
|
Face Detection (Q)
|
97% |
1177
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
915
7.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
1102
8.49 IPS |
|
|
Depth Estimation (Q)
|
62% |
896
8.49 IPS |
|
|
Style Transfer (SP)
|
100% |
2514
3.23 IPS |
|
|
Style Transfer (HP)
|
100% |
3253
4.18 IPS |
|
|
Style Transfer (Q)
|
98% |
3275
4.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
457
16.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
533
19.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
520
19.3 IPS |
|
|
Text Classification (SP)
|
100% |
371
495.5 IPS |
|
|
Text Classification (HP)
|
100% |
372
496.2 IPS |
|
|
Text Classification (Q)
|
91% |
574
771.1 IPS |
|
|
Machine Translation (SP)
|
100% |
540
9.30 IPS |
|
|
Machine Translation (HP)
|
100% |
517
8.91 IPS |
|
|
Machine Translation (Q)
|
57% |
299
7.30 IPS |
