Google Pixel 10
Geekbench AI Score
2149
Single Precision Score
2080
Half Precision Score
3368
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 03:31 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% |
2071
385.1 IPS |
|
|
Image Classification (HP)
|
100% |
1967
365.9 IPS |
|
|
Image Classification (Q)
|
100% |
3946
733.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2412
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2264
36.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4231
68.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4293
5.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
4193
4.89 IPS |
|
|
Pose Estimation (Q)
|
84% |
9936
11.8 IPS |
|
|
Object Detection (SP)
|
98% |
1904
151.5 IPS |
|
|
Object Detection (HP)
|
98% |
1912
152.2 IPS |
|
|
Object Detection (Q)
|
83% |
2812
227.2 IPS |
|
|
Face Detection (SP)
|
100% |
3194
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
3053
36.3 IPS |
|
|
Face Detection (Q)
|
95% |
6899
82.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3197
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2695
20.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4982
45.6 IPS |
|
|
Style Transfer (SP)
|
89% |
6339
8.23 IPS |
|
|
Style Transfer (HP)
|
89% |
6327
8.21 IPS |
|
|
Style Transfer (Q)
|
98% |
7743
9.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1275
47.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1262
46.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3465
128.4 IPS |
|
|
Text Classification (SP)
|
100% |
593
791.8 IPS |
|
|
Text Classification (HP)
|
99% |
635
847.2 IPS |
|
|
Text Classification (Q)
|
88% |
985
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1056
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1020
17.6 IPS |
|
|
Machine Translation (Q)
|
50% |
444
15.7 IPS |
