Google Pixel 10a
Geekbench AI Score
312
Single Precision Score
4540
Half Precision Score
8606
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | klcs1998 |
| Upload Date | March 06 2026 03:16 AM |
| Views | 32 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
224
41.7 IPS |
|
|
Image Classification (HP)
|
100% |
6726
1.25 KIPS |
|
|
Image Classification (Q)
|
99% |
9324
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
261
4.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
8788
142.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
17826
289.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
339
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
32051
37.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
65475
76.7 IPS |
|
|
Object Detection (SP)
|
100% |
171
13.6 IPS |
|
|
Object Detection (HP)
|
100% |
5634
446.9 IPS |
|
|
Object Detection (Q)
|
87% |
7384
592.3 IPS |
|
|
Face Detection (SP)
|
100% |
418
4.97 IPS |
|
|
Face Detection (HP)
|
100% |
15007
178.3 IPS |
|
|
Face Detection (Q)
|
97% |
29559
352.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
395
3.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
35005
269.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
41985
386.5 IPS |
|
|
Style Transfer (SP)
|
100% |
568
0.73 IPS |
|
|
Style Transfer (HP)
|
100% |
512
0.66 IPS |
|
|
Style Transfer (Q)
|
98% |
1501
1.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
210
7.76 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10349
382.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
21098
781.8 IPS |
|
|
Text Classification (SP)
|
100% |
303
404.2 IPS |
|
|
Text Classification (HP)
|
100% |
302
403.3 IPS |
|
|
Text Classification (Q)
|
92% |
2443
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
437
7.54 IPS |
|
|
Machine Translation (HP)
|
100% |
415
7.15 IPS |
|
|
Machine Translation (Q)
|
57% |
289
7.06 IPS |
