Google Pixel 10 Pro
Geekbench AI Score
457
Single Precision Score
921
Half Precision Score
4616
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 05 2025 07:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| 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 | 14.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
320
59.5 IPS |
|
|
Image Classification (HP)
|
100% |
323
60.1 IPS |
|
|
Image Classification (Q)
|
99% |
2865
534.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
411
6.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
419
6.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
20442
332.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
514
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
510
0.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
4099
4.80 IPS |
|
|
Object Detection (SP)
|
100% |
323
25.6 IPS |
|
|
Object Detection (HP)
|
100% |
274
21.8 IPS |
|
|
Object Detection (Q)
|
87% |
3734
299.5 IPS |
|
|
Face Detection (SP)
|
100% |
492
5.84 IPS |
|
|
Face Detection (HP)
|
100% |
495
5.88 IPS |
|
|
Face Detection (Q)
|
97% |
33421
398.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
551
4.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
30418
234.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
35341
325.3 IPS |
|
|
Style Transfer (SP)
|
100% |
876
1.13 IPS |
|
|
Style Transfer (HP)
|
100% |
771
0.99 IPS |
|
|
Style Transfer (Q)
|
98% |
3566
4.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
271
9.99 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11197
413.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14346
531.6 IPS |
|
|
Text Classification (SP)
|
100% |
456
608.6 IPS |
|
|
Text Classification (HP)
|
100% |
455
607.3 IPS |
|
|
Text Classification (Q)
|
91% |
234
315.0 IPS |
|
|
Machine Translation (SP)
|
100% |
632
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
393
6.76 IPS |
|
|
Machine Translation (Q)
|
57% |
347
8.49 IPS |
