Google Pixel 10 Pro
Geekbench AI Score
453
Single Precision Score
900
Half Precision Score
3990
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 09:24 AM |
| Views | 5 |
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 | 15.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
327
60.9 IPS |
|
|
Image Classification (HP)
|
100% |
329
61.2 IPS |
|
|
Image Classification (Q)
|
99% |
2713
506.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
420
6.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
425
6.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
10896
177.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
498
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
538
0.63 IPS |
|
|
Pose Estimation (Q)
|
96% |
3667
4.30 IPS |
|
|
Object Detection (SP)
|
100% |
268
21.3 IPS |
|
|
Object Detection (HP)
|
100% |
267
21.2 IPS |
|
|
Object Detection (Q)
|
87% |
3561
285.6 IPS |
|
|
Face Detection (SP)
|
100% |
620
7.37 IPS |
|
|
Face Detection (HP)
|
100% |
498
5.92 IPS |
|
|
Face Detection (Q)
|
97% |
22393
267.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
604
4.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
25025
192.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
33375
307.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1031
1.33 IPS |
|
|
Style Transfer (HP)
|
100% |
807
1.04 IPS |
|
|
Style Transfer (Q)
|
98% |
3532
4.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
192
7.08 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10340
381.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12261
454.3 IPS |
|
|
Text Classification (SP)
|
100% |
424
566.3 IPS |
|
|
Text Classification (HP)
|
100% |
425
566.7 IPS |
|
|
Text Classification (Q)
|
91% |
414
557.0 IPS |
|
|
Machine Translation (SP)
|
100% |
642
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
397
6.85 IPS |
|
|
Machine Translation (Q)
|
57% |
198
4.84 IPS |
