Google Pixel 10 Pro
Geekbench AI Score
2558
Single Precision Score
2668
Half Precision Score
4296
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 21 2025 07:11 PM |
| Views | 1 |
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% |
1840
342.1 IPS |
|
|
Image Classification (HP)
|
100% |
2052
381.6 IPS |
|
|
Image Classification (Q)
|
100% |
3776
702.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2395
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2307
37.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4210
68.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4375
5.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
4199
4.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
9615
11.4 IPS |
|
|
Object Detection (SP)
|
98% |
1714
136.4 IPS |
|
|
Object Detection (HP)
|
98% |
1866
148.5 IPS |
|
|
Object Detection (Q)
|
83% |
2506
202.4 IPS |
|
|
Face Detection (SP)
|
100% |
2993
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
3385
40.2 IPS |
|
|
Face Detection (Q)
|
95% |
7594
90.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3805
29.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3985
30.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
6423
58.8 IPS |
|
|
Style Transfer (SP)
|
89% |
9987
13.0 IPS |
|
|
Style Transfer (HP)
|
89% |
9972
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
20576
26.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2081
76.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2163
79.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5332
197.6 IPS |
|
|
Text Classification (SP)
|
100% |
924
1.23 KIPS |
|
|
Text Classification (HP)
|
99% |
1041
1.39 KIPS |
|
|
Text Classification (Q)
|
88% |
1505
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1662
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1628
28.0 IPS |
|
|
Machine Translation (Q)
|
50% |
695
24.7 IPS |
