Google Pixel 10
Geekbench AI Score
2471
Single Precision Score
2474
Half Precision Score
4023
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 10 2025 08:24 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 10 |
| Model ID | Google Pixel 10 |
| Motherboard | frankel |
| 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 | 11.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1868
347.4 IPS |
|
|
Image Classification (HP)
|
100% |
1987
369.5 IPS |
|
|
Image Classification (Q)
|
100% |
3963
737.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2409
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2433
39.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4269
69.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4457
5.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
4351
5.08 IPS |
|
|
Pose Estimation (Q)
|
84% |
10430
12.4 IPS |
|
|
Object Detection (SP)
|
98% |
1985
157.9 IPS |
|
|
Object Detection (HP)
|
98% |
1986
158.1 IPS |
|
|
Object Detection (Q)
|
83% |
3268
264.0 IPS |
|
|
Face Detection (SP)
|
100% |
3515
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
3511
41.7 IPS |
|
|
Face Detection (Q)
|
95% |
8115
96.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3692
28.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3843
29.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
7197
65.9 IPS |
|
|
Style Transfer (SP)
|
89% |
9972
12.9 IPS |
|
|
Style Transfer (HP)
|
89% |
9956
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
17743
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1934
71.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1967
72.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4467
165.5 IPS |
|
|
Text Classification (SP)
|
100% |
764
1.02 KIPS |
|
|
Text Classification (HP)
|
99% |
760
1.01 KIPS |
|
|
Text Classification (Q)
|
88% |
1098
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1117
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1028
17.7 IPS |
|
|
Machine Translation (Q)
|
50% |
379
13.5 IPS |
