Google Pixel 10 Pro
Geekbench AI Score
1859
Single Precision Score
1924
Half Precision Score
2782
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | CatCat |
| Upload Date | December 10 2025 05:43 AM |
| Views | 2 |
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% |
1788
332.6 IPS |
|
|
Image Classification (HP)
|
100% |
2116
393.5 IPS |
|
|
Image Classification (Q)
|
100% |
3597
668.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2345
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2272
36.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4209
68.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4190
4.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
3882
4.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
8055
9.55 IPS |
|
|
Object Detection (SP)
|
98% |
1231
97.9 IPS |
|
|
Object Detection (HP)
|
98% |
1224
97.4 IPS |
|
|
Object Detection (Q)
|
83% |
1843
148.9 IPS |
|
|
Face Detection (SP)
|
100% |
2237
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
2218
26.4 IPS |
|
|
Face Detection (Q)
|
95% |
4911
58.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2191
16.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2431
18.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4777
43.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4871
6.32 IPS |
|
|
Style Transfer (HP)
|
89% |
6418
8.33 IPS |
|
|
Style Transfer (Q)
|
98% |
9319
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1392
51.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1353
50.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3372
125.0 IPS |
|
|
Text Classification (SP)
|
100% |
648
865.2 IPS |
|
|
Text Classification (HP)
|
99% |
644
859.3 IPS |
|
|
Text Classification (Q)
|
88% |
602
812.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1063
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1010
17.4 IPS |
|
|
Machine Translation (Q)
|
50% |
279
9.90 IPS |
