Google Pixel 10
Geekbench AI Score
428
Single Precision Score
978
Half Precision Score
3579
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 22 2026 09:49 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 10 |
| Model ID | Google Pixel 10 |
| Motherboard | frankel |
| 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 | 2.25 GHz |
| Cluster 1 | 2 Cores @ 2.25 GHz |
| Cluster 2 | 5 Cores @ 3.05 GHz |
| Cluster 3 | 1 Core @ 3.78 GHz |
| Memory Information | |
|---|---|
| Size | 11.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
332
61.8 IPS |
|
|
Image Classification (HP)
|
100% |
333
61.9 IPS |
|
|
Image Classification (Q)
|
99% |
3431
639.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
426
6.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
428
6.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
10385
168.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
545
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
489
0.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
2915
3.42 IPS |
|
|
Object Detection (SP)
|
100% |
180
14.3 IPS |
|
|
Object Detection (HP)
|
100% |
291
23.1 IPS |
|
|
Object Detection (Q)
|
87% |
3528
283.0 IPS |
|
|
Face Detection (SP)
|
100% |
498
5.92 IPS |
|
|
Face Detection (HP)
|
100% |
738
8.77 IPS |
|
|
Face Detection (Q)
|
97% |
22292
265.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
648
4.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
24638
189.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
29020
267.1 IPS |
|
|
Style Transfer (SP)
|
100% |
867
1.11 IPS |
|
|
Style Transfer (HP)
|
100% |
847
1.09 IPS |
|
|
Style Transfer (Q)
|
98% |
3864
4.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
340
12.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9242
341.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12241
453.6 IPS |
|
|
Text Classification (SP)
|
100% |
248
330.9 IPS |
|
|
Text Classification (HP)
|
100% |
390
519.9 IPS |
|
|
Text Classification (Q)
|
91% |
163
218.7 IPS |
|
|
Machine Translation (SP)
|
100% |
636
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (Q)
|
57% |
189
4.62 IPS |
