Google Pixel 8a
Geekbench AI Score
656
Single Precision Score
764
Half Precision Score
707
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 03 2025 11:45 AM |
| 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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
352
65.5 IPS |
|
|
Image Classification (HP)
|
100% |
406
75.5 IPS |
|
|
Image Classification (Q)
|
99% |
327
61.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
913
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
996
16.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1029
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
480
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
670
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
664
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
321
25.5 IPS |
|
|
Object Detection (HP)
|
100% |
408
32.4 IPS |
|
|
Object Detection (Q)
|
83% |
425
34.4 IPS |
|
|
Face Detection (SP)
|
100% |
1339
15.9 IPS |
|
|
Face Detection (HP)
|
100% |
1475
17.5 IPS |
|
|
Face Detection (Q)
|
97% |
1335
15.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
914
7.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
1118
8.62 IPS |
|
|
Depth Estimation (Q)
|
62% |
904
8.56 IPS |
|
|
Style Transfer (SP)
|
100% |
2530
3.25 IPS |
|
|
Style Transfer (HP)
|
100% |
3338
4.29 IPS |
|
|
Style Transfer (Q)
|
98% |
3294
4.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
493
18.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
579
21.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
557
20.6 IPS |
|
|
Text Classification (SP)
|
100% |
369
492.3 IPS |
|
|
Text Classification (HP)
|
100% |
371
495.4 IPS |
|
|
Text Classification (Q)
|
91% |
578
777.1 IPS |
|
|
Machine Translation (SP)
|
100% |
535
9.22 IPS |
|
|
Machine Translation (HP)
|
100% |
525
9.05 IPS |
|
|
Machine Translation (Q)
|
57% |
259
6.33 IPS |
