Google Pixel 8a
Geekbench AI Score
942
Single Precision Score
1377
Half Precision Score
1031
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 14 2025 02:07 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
424
78.8 IPS |
|
|
Image Classification (HP)
|
100% |
461
85.7 IPS |
|
|
Image Classification (Q)
|
97% |
358
66.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1829
29.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1588
25.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4891
5.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
11916
13.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11639
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
508
40.3 IPS |
|
|
Object Detection (HP)
|
99% |
697
55.3 IPS |
|
|
Object Detection (Q)
|
83% |
547
44.2 IPS |
|
|
Face Detection (SP)
|
100% |
2393
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
2543
30.2 IPS |
|
|
Face Detection (Q)
|
96% |
2447
29.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3260
25.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
5644
43.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
4313
41.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7610
9.78 IPS |
|
|
Style Transfer (HP)
|
100% |
19602
25.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18690
24.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1731
63.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2141
79.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2090
77.5 IPS |
|
|
Text Classification (SP)
|
35% |
16
143.1 IPS |
|
|
Text Classification (HP)
|
35% |
21
186.8 IPS |
|
|
Text Classification (Q)
|
32% |
14
181.7 IPS |
|
|
Machine Translation (SP)
|
100% |
245
4.22 IPS |
|
|
Machine Translation (HP)
|
100% |
277
4.78 IPS |
|
|
Machine Translation (Q)
|
43% |
65
3.79 IPS |
