Google Pixel 10a
Geekbench AI Score
1157
Single Precision Score
1779
Half Precision Score
1310
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | klcs1998 |
| Upload Date | March 06 2026 03:06 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 10a |
| Model ID | Google Pixel 10a |
| Motherboard | stallion |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 3 Cores @ 2.60 GHz |
| Cluster 3 | 1 Core @ 3.10 GHz |
| Memory Information | |
|---|---|
| Size | 7.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
642
119.4 IPS |
|
|
Image Classification (HP)
|
100% |
721
134.0 IPS |
|
|
Image Classification (Q)
|
97% |
535
99.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1568
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2524
40.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2104
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5352
6.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
13355
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12665
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
607
48.2 IPS |
|
|
Object Detection (HP)
|
99% |
1083
85.9 IPS |
|
|
Object Detection (Q)
|
83% |
1024
82.7 IPS |
|
|
Face Detection (SP)
|
100% |
2764
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
3392
40.3 IPS |
|
|
Face Detection (Q)
|
96% |
3043
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3709
28.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
6362
49.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
4980
47.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8155
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21754
28.0 IPS |
|
|
Style Transfer (Q)
|
98% |
20353
26.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1954
72.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2620
96.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2290
84.9 IPS |
|
|
Text Classification (SP)
|
35% |
26
239.3 IPS |
|
|
Text Classification (HP)
|
35% |
30
274.1 IPS |
|
|
Text Classification (Q)
|
32% |
19
248.5 IPS |
|
|
Machine Translation (SP)
|
100% |
310
5.34 IPS |
|
|
Machine Translation (HP)
|
100% |
328
5.65 IPS |
|
|
Machine Translation (Q)
|
43% |
76
4.42 IPS |
