Google Pixel 10
Geekbench AI Score
2636
Single Precision Score
3392
Half Precision Score
4665
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | 19jet54 |
| Upload Date | February 27 2026 02:17 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G5 |
| 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 | 11.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1923
357.6 IPS |
|
|
Image Classification (HP)
|
100% |
1922
357.5 IPS |
|
|
Image Classification (Q)
|
99% |
3867
721.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2371
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2345
38.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4238
68.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4526
5.28 IPS |
|
|
Pose Estimation (HP)
|
92% |
8983
10.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
11009
12.9 IPS |
|
|
Object Detection (SP)
|
98% |
1870
148.9 IPS |
|
|
Object Detection (HP)
|
97% |
1644
130.9 IPS |
|
|
Object Detection (Q)
|
85% |
3426
276.0 IPS |
|
|
Face Detection (SP)
|
100% |
3550
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
5115
60.8 IPS |
|
|
Face Detection (Q)
|
97% |
7684
91.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
4008
31.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
6146
47.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
7544
69.2 IPS |
|
|
Style Transfer (SP)
|
89% |
10160
13.2 IPS |
|
|
Style Transfer (HP)
|
88% |
10500
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
20837
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1928
71.2 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
3897
144.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5523
204.7 IPS |
|
|
Text Classification (SP)
|
100% |
933
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
1461
1.95 KIPS |
|
|
Text Classification (Q)
|
93% |
1616
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1618
27.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1612
27.9 IPS |
|
|
Machine Translation (Q)
|
55% |
733
19.7 IPS |
