Google Pixel 10 Pro
Geekbench AI Score
2555
Single Precision Score
2604
Half Precision Score
4043
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 28 2025 06:29 AM |
| Views | 3 |
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% |
1737
323.0 IPS |
|
|
Image Classification (HP)
|
100% |
2067
384.4 IPS |
|
|
Image Classification (Q)
|
100% |
3572
664.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2382
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2417
39.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4181
68.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4407
5.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
4350
5.08 IPS |
|
|
Pose Estimation (Q)
|
84% |
10301
12.2 IPS |
|
|
Object Detection (SP)
|
98% |
1810
144.1 IPS |
|
|
Object Detection (HP)
|
98% |
1804
143.5 IPS |
|
|
Object Detection (Q)
|
83% |
2957
238.9 IPS |
|
|
Face Detection (SP)
|
100% |
3282
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
3127
37.2 IPS |
|
|
Face Detection (Q)
|
95% |
7256
86.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3557
27.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3846
29.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5952
54.5 IPS |
|
|
Style Transfer (SP)
|
89% |
9956
12.9 IPS |
|
|
Style Transfer (HP)
|
89% |
9895
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
20167
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1994
73.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2109
77.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4812
178.3 IPS |
|
|
Text Classification (SP)
|
100% |
980
1.31 KIPS |
|
|
Text Classification (HP)
|
99% |
1002
1.34 KIPS |
|
|
Text Classification (Q)
|
88% |
1555
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1582
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1458
25.1 IPS |
|
|
Machine Translation (Q)
|
50% |
394
14.0 IPS |
