Google Pixel 10 Pro
Geekbench AI Score
2099
Single Precision Score
2863
Half Precision Score
3901
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | amAlamri |
| Upload Date | April 18 2026 10:09 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1828
339.9 IPS |
|
|
Image Classification (HP)
|
100% |
796
148.1 IPS |
|
|
Image Classification (Q)
|
99% |
1540
287.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
878
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2229
36.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4107
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4237
4.94 IPS |
|
|
Pose Estimation (HP)
|
92% |
8372
9.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
10116
11.9 IPS |
|
|
Object Detection (SP)
|
98% |
1649
131.2 IPS |
|
|
Object Detection (HP)
|
97% |
1509
120.1 IPS |
|
|
Object Detection (Q)
|
85% |
2890
232.8 IPS |
|
|
Face Detection (SP)
|
100% |
2749
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
4366
51.9 IPS |
|
|
Face Detection (Q)
|
97% |
6968
83.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3773
29.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5752
44.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
6240
57.3 IPS |
|
|
Style Transfer (SP)
|
89% |
9333
12.1 IPS |
|
|
Style Transfer (HP)
|
88% |
9805
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
15913
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2123
78.4 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
3438
127.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5800
214.9 IPS |
|
|
Text Classification (SP)
|
100% |
499
666.7 IPS |
|
|
Text Classification (HP)
|
100% |
1391
1.86 KIPS |
|
|
Text Classification (Q)
|
93% |
1425
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1450
25.0 IPS |
|
|
Machine Translation (HP)
|
96% |
1405
24.3 IPS |
|
|
Machine Translation (Q)
|
55% |
772
20.7 IPS |
