Google Pixel 10
Geekbench AI Score
346
Single Precision Score
778
Half Precision Score
3596
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 25 2025 04:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
331
61.6 IPS |
|
|
Image Classification (HP)
|
100% |
329
61.2 IPS |
|
|
Image Classification (Q)
|
99% |
7358
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
426
6.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
431
6.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
10101
164.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
345
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
307
0.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1906
2.23 IPS |
|
|
Object Detection (SP)
|
100% |
236
18.7 IPS |
|
|
Object Detection (HP)
|
100% |
224
17.8 IPS |
|
|
Object Detection (Q)
|
87% |
2356
189.0 IPS |
|
|
Face Detection (SP)
|
100% |
534
6.35 IPS |
|
|
Face Detection (HP)
|
100% |
455
5.41 IPS |
|
|
Face Detection (Q)
|
97% |
35271
420.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
493
3.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
28309
218.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
31544
290.4 IPS |
|
|
Style Transfer (SP)
|
100% |
653
0.84 IPS |
|
|
Style Transfer (HP)
|
100% |
577
0.74 IPS |
|
|
Style Transfer (Q)
|
98% |
2935
3.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
184
6.78 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8674
320.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12495
463.0 IPS |
|
|
Text Classification (SP)
|
100% |
191
254.4 IPS |
|
|
Text Classification (HP)
|
100% |
253
337.2 IPS |
|
|
Text Classification (Q)
|
91% |
163
218.6 IPS |
|
|
Machine Translation (SP)
|
100% |
358
6.16 IPS |
|
|
Machine Translation (HP)
|
100% |
515
8.87 IPS |
|
|
Machine Translation (Q)
|
57% |
163
3.98 IPS |
