Google Pixel 10 Pro
Geekbench AI Score
534
Single Precision Score
1062
Half Precision Score
3839
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 17 2026 04:55 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G5 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 10 Pro |
| Model ID | Google Pixel 10 Pro |
| Motherboard | blazer |
| 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 | 14.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
332
61.7 IPS |
|
|
Image Classification (HP)
|
100% |
335
62.3 IPS |
|
|
Image Classification (Q)
|
99% |
2707
505.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
428
6.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
431
6.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
11950
194.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
563
0.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
529
0.62 IPS |
|
|
Pose Estimation (Q)
|
96% |
4104
4.81 IPS |
|
|
Object Detection (SP)
|
100% |
331
26.3 IPS |
|
|
Object Detection (HP)
|
100% |
333
26.4 IPS |
|
|
Object Detection (Q)
|
87% |
2476
198.6 IPS |
|
|
Face Detection (SP)
|
100% |
738
8.77 IPS |
|
|
Face Detection (HP)
|
100% |
745
8.85 IPS |
|
|
Face Detection (Q)
|
97% |
21850
260.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
645
4.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
27252
210.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
30402
279.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1013
1.30 IPS |
|
|
Style Transfer (HP)
|
100% |
1007
1.29 IPS |
|
|
Style Transfer (Q)
|
98% |
4188
5.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
378
14.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9033
333.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12363
458.1 IPS |
|
|
Text Classification (SP)
|
100% |
540
720.9 IPS |
|
|
Text Classification (HP)
|
100% |
541
721.7 IPS |
|
|
Text Classification (Q)
|
91% |
200
268.8 IPS |
|
|
Machine Translation (SP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (Q)
|
57% |
308
7.52 IPS |
