Google Pixel 10 Pro
Geekbench AI Score
485
Single Precision Score
1000
Half Precision Score
3608
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 15 2026 12:49 AM |
| Views | 1 |
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 | 15.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
332
61.7 IPS |
|
|
Image Classification (HP)
|
100% |
335
62.2 IPS |
|
|
Image Classification (Q)
|
99% |
2379
443.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
418
6.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
424
6.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
13859
225.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
547
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
542
0.63 IPS |
|
|
Pose Estimation (Q)
|
96% |
3891
4.56 IPS |
|
|
Object Detection (SP)
|
100% |
324
25.7 IPS |
|
|
Object Detection (HP)
|
100% |
328
26.0 IPS |
|
|
Object Detection (Q)
|
87% |
2492
199.9 IPS |
|
|
Face Detection (SP)
|
100% |
721
8.57 IPS |
|
|
Face Detection (HP)
|
100% |
728
8.65 IPS |
|
|
Face Detection (Q)
|
97% |
17707
211.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
642
4.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
23700
182.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
30946
284.9 IPS |
|
|
Style Transfer (SP)
|
100% |
996
1.28 IPS |
|
|
Style Transfer (HP)
|
100% |
983
1.26 IPS |
|
|
Style Transfer (Q)
|
98% |
4170
5.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
358
13.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8956
330.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12225
453.0 IPS |
|
|
Text Classification (SP)
|
100% |
248
331.4 IPS |
|
|
Text Classification (HP)
|
100% |
371
494.9 IPS |
|
|
Text Classification (Q)
|
91% |
234
314.5 IPS |
|
|
Machine Translation (SP)
|
100% |
716
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
704
12.1 IPS |
|
|
Machine Translation (Q)
|
57% |
179
4.38 IPS |
