Google Pixel 8a
Geekbench AI Score
620
Single Precision Score
734
Half Precision Score
706
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 17 2024 11:10 PM |
| Views | 10 |
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% |
245
45.7 IPS |
|
|
Image Classification (HP)
|
100% |
391
72.8 IPS |
|
|
Image Classification (Q)
|
99% |
342
63.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
869
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
979
15.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
937
15.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
485
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
691
0.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
687
0.81 IPS |
|
|
Object Detection (SP)
|
100% |
273
21.7 IPS |
|
|
Object Detection (HP)
|
100% |
313
24.8 IPS |
|
|
Object Detection (Q)
|
83% |
380
30.7 IPS |
|
|
Face Detection (SP)
|
100% |
1335
15.9 IPS |
|
|
Face Detection (HP)
|
100% |
1401
16.6 IPS |
|
|
Face Detection (Q)
|
97% |
1173
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
909
7.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
1111
8.56 IPS |
|
|
Depth Estimation (Q)
|
62% |
893
8.45 IPS |
|
|
Style Transfer (SP)
|
100% |
2534
3.26 IPS |
|
|
Style Transfer (HP)
|
100% |
3300
4.24 IPS |
|
|
Style Transfer (Q)
|
98% |
3260
4.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
472
17.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
532
19.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
519
19.2 IPS |
|
|
Text Classification (SP)
|
100% |
379
505.4 IPS |
|
|
Text Classification (HP)
|
100% |
380
507.0 IPS |
|
|
Text Classification (Q)
|
91% |
576
774.0 IPS |
|
|
Machine Translation (SP)
|
100% |
542
9.33 IPS |
|
|
Machine Translation (HP)
|
100% |
534
9.21 IPS |
|
|
Machine Translation (Q)
|
57% |
365
8.92 IPS |
