Google Pixel 10 Pro
Geekbench AI Score
372
Single Precision Score
818
Half Precision Score
4117
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 14 2025 12:10 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 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 | 15.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
306
56.9 IPS |
|
|
Image Classification (HP)
|
100% |
302
56.1 IPS |
|
|
Image Classification (Q)
|
99% |
4387
818.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
238
3.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
348
5.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
11070
180.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
367
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
307
0.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
3194
3.74 IPS |
|
|
Object Detection (SP)
|
100% |
180
14.3 IPS |
|
|
Object Detection (HP)
|
100% |
274
21.7 IPS |
|
|
Object Detection (Q)
|
87% |
4098
328.8 IPS |
|
|
Face Detection (SP)
|
100% |
502
5.97 IPS |
|
|
Face Detection (HP)
|
100% |
627
7.45 IPS |
|
|
Face Detection (Q)
|
97% |
24307
289.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
522
4.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
27291
210.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
30715
282.7 IPS |
|
|
Style Transfer (SP)
|
100% |
843
1.08 IPS |
|
|
Style Transfer (HP)
|
100% |
735
0.95 IPS |
|
|
Style Transfer (Q)
|
98% |
3618
4.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
317
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8503
314.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11761
435.8 IPS |
|
|
Text Classification (SP)
|
100% |
240
320.8 IPS |
|
|
Text Classification (HP)
|
100% |
240
320.2 IPS |
|
|
Text Classification (Q)
|
91% |
246
330.0 IPS |
|
|
Machine Translation (SP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
594
10.2 IPS |
|
|
Machine Translation (Q)
|
57% |
282
6.90 IPS |
