Google Pixel 10
Geekbench AI Score
1071
Single Precision Score
1475
Half Precision Score
1848
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | tommilostny |
| Upload Date | March 04 2026 05:43 PM |
| Views | 10 |
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 | 10.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
600
111.6 IPS |
|
|
Image Classification (HP)
|
100% |
891
165.6 IPS |
|
|
Image Classification (Q)
|
99% |
1827
340.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
834
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
928
15.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1488
24.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2379
2.78 IPS |
|
|
Pose Estimation (HP)
|
92% |
4576
5.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
4696
5.50 IPS |
|
|
Object Detection (SP)
|
98% |
791
62.9 IPS |
|
|
Object Detection (HP)
|
97% |
672
53.5 IPS |
|
|
Object Detection (Q)
|
85% |
1304
105.0 IPS |
|
|
Face Detection (SP)
|
100% |
1407
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
1968
23.4 IPS |
|
|
Face Detection (Q)
|
97% |
2662
31.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1498
11.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2536
19.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
2603
23.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3729
4.84 IPS |
|
|
Style Transfer (HP)
|
88% |
4958
6.44 IPS |
|
|
Style Transfer (Q)
|
98% |
7865
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
948
35.0 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1425
53.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1843
68.3 IPS |
|
|
Text Classification (SP)
|
100% |
380
507.7 IPS |
|
|
Text Classification (HP)
|
100% |
723
965.4 IPS |
|
|
Text Classification (Q)
|
93% |
605
811.9 IPS |
|
|
Machine Translation (SP)
|
100% |
748
12.9 IPS |
|
|
Machine Translation (HP)
|
96% |
753
13.0 IPS |
|
|
Machine Translation (Q)
|
55% |
460
12.4 IPS |
