Google Pixel 10 Pro
Geekbench AI Score
2204
Single Precision Score
2198
Half Precision Score
3341
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Vp5 |
| Upload Date | August 30 2025 10:22 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2157
401.2 IPS |
|
|
Image Classification (HP)
|
100% |
2148
399.6 IPS |
|
|
Image Classification (Q)
|
100% |
3388
630.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2370
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2196
35.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4106
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4222
4.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
4114
4.80 IPS |
|
|
Pose Estimation (Q)
|
84% |
9635
11.4 IPS |
|
|
Object Detection (SP)
|
98% |
1697
135.1 IPS |
|
|
Object Detection (HP)
|
98% |
1794
142.7 IPS |
|
|
Object Detection (Q)
|
83% |
2002
161.7 IPS |
|
|
Face Detection (SP)
|
100% |
3157
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
3520
41.8 IPS |
|
|
Face Detection (Q)
|
95% |
7191
85.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3595
27.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3524
27.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5950
54.5 IPS |
|
|
Style Transfer (SP)
|
89% |
8072
10.5 IPS |
|
|
Style Transfer (HP)
|
89% |
6926
8.99 IPS |
|
|
Style Transfer (Q)
|
98% |
13624
17.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1366
50.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1361
50.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3475
128.8 IPS |
|
|
Text Classification (SP)
|
100% |
632
844.2 IPS |
|
|
Text Classification (HP)
|
99% |
632
843.9 IPS |
|
|
Text Classification (Q)
|
88% |
851
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
935
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1024
17.6 IPS |
|
|
Machine Translation (Q)
|
50% |
375
13.3 IPS |
