Google Pixel 10 Pro
Geekbench AI Score
2355
Single Precision Score
2276
Half Precision Score
3555
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | snorton54 |
| Upload Date | December 04 2025 07:12 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 10 Pro |
| Model ID | Google Pixel 10 Pro |
| Motherboard | blazer |
| 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 | 15.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1912
355.5 IPS |
|
|
Image Classification (HP)
|
100% |
2091
388.8 IPS |
|
|
Image Classification (Q)
|
100% |
3902
725.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2429
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2183
35.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3950
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4435
5.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
4361
5.09 IPS |
|
|
Pose Estimation (Q)
|
84% |
10226
12.1 IPS |
|
|
Object Detection (SP)
|
98% |
1805
143.7 IPS |
|
|
Object Detection (HP)
|
98% |
1797
143.0 IPS |
|
|
Object Detection (Q)
|
83% |
2935
237.1 IPS |
|
|
Face Detection (SP)
|
100% |
3385
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
3080
36.6 IPS |
|
|
Face Detection (Q)
|
95% |
7002
83.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3644
28.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3801
29.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
6418
58.8 IPS |
|
|
Style Transfer (SP)
|
89% |
10020
13.0 IPS |
|
|
Style Transfer (HP)
|
89% |
8685
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
15533
20.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1778
65.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1522
56.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4125
152.9 IPS |
|
|
Text Classification (SP)
|
100% |
606
808.7 IPS |
|
|
Text Classification (HP)
|
99% |
649
866.8 IPS |
|
|
Text Classification (Q)
|
88% |
623
839.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1062
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1042
17.9 IPS |
|
|
Machine Translation (Q)
|
50% |
389
13.8 IPS |
