Google Pixel 10a
Geekbench AI Score
1593
Single Precision Score
1668
Half Precision Score
2513
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | klcs1998 |
| Upload Date | March 06 2026 03:02 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1426
265.2 IPS |
|
|
Image Classification (HP)
|
100% |
1119
208.2 IPS |
|
|
Image Classification (Q)
|
99% |
2302
429.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1701
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1387
22.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2430
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2703
3.15 IPS |
|
|
Pose Estimation (HP)
|
92% |
5290
6.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
5847
6.85 IPS |
|
|
Object Detection (SP)
|
98% |
1120
89.1 IPS |
|
|
Object Detection (HP)
|
97% |
444
35.4 IPS |
|
|
Object Detection (Q)
|
85% |
1729
139.3 IPS |
|
|
Face Detection (SP)
|
100% |
2406
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
2670
31.7 IPS |
|
|
Face Detection (Q)
|
97% |
3803
45.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2209
17.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
3246
25.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3412
31.3 IPS |
|
|
Style Transfer (SP)
|
89% |
5204
6.76 IPS |
|
|
Style Transfer (HP)
|
88% |
4802
6.23 IPS |
|
|
Style Transfer (Q)
|
98% |
9686
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1108
40.9 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1702
63.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2485
92.1 IPS |
|
|
Text Classification (SP)
|
100% |
456
608.7 IPS |
|
|
Text Classification (HP)
|
100% |
682
909.9 IPS |
|
|
Text Classification (Q)
|
93% |
794
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1026
17.7 IPS |
|
|
Machine Translation (HP)
|
96% |
951
16.4 IPS |
|
|
Machine Translation (Q)
|
55% |
717
19.3 IPS |
