Google Pixel 8a
Geekbench AI Score
578
Single Precision Score
733
Half Precision Score
681
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 21 2025 01:32 AM |
| Views | 11 |
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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
387
72.0 IPS |
|
|
Image Classification (HP)
|
100% |
425
79.0 IPS |
|
|
Image Classification (Q)
|
99% |
396
73.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
907
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1048
17.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1083
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
480
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
672
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
666
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
353
28.0 IPS |
|
|
Object Detection (HP)
|
100% |
469
37.2 IPS |
|
|
Object Detection (Q)
|
83% |
477
38.6 IPS |
|
|
Face Detection (SP)
|
100% |
1423
16.9 IPS |
|
|
Face Detection (HP)
|
100% |
1575
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
1339
16.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
907
6.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
1123
8.65 IPS |
|
|
Depth Estimation (Q)
|
62% |
917
8.68 IPS |
|
|
Style Transfer (SP)
|
100% |
2530
3.25 IPS |
|
|
Style Transfer (HP)
|
100% |
3332
4.28 IPS |
|
|
Style Transfer (Q)
|
98% |
3316
4.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
503
18.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
596
22.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
574
21.3 IPS |
|
|
Text Classification (SP)
|
100% |
167
222.7 IPS |
|
|
Text Classification (HP)
|
100% |
167
223.1 IPS |
|
|
Text Classification (Q)
|
91% |
249
335.2 IPS |
|
|
Machine Translation (SP)
|
100% |
259
4.46 IPS |
|
|
Machine Translation (HP)
|
100% |
548
9.44 IPS |
|
|
Machine Translation (Q)
|
57% |
272
6.64 IPS |
