Google Pixel 10 Pro
Geekbench AI Score
354
Single Precision Score
825
Half Precision Score
3747
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 17 2025 07:57 AM |
| Views | 6 |
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 | 15.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
207
38.6 IPS |
|
|
Image Classification (HP)
|
100% |
197
36.7 IPS |
|
|
Image Classification (Q)
|
99% |
3005
560.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
283
4.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
288
4.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
14274
232.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
340
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
312
0.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
2792
3.27 IPS |
|
|
Object Detection (SP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (HP)
|
100% |
253
20.0 IPS |
|
|
Object Detection (Q)
|
87% |
3370
270.3 IPS |
|
|
Face Detection (SP)
|
100% |
483
5.74 IPS |
|
|
Face Detection (HP)
|
100% |
625
7.42 IPS |
|
|
Face Detection (Q)
|
97% |
24685
294.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
530
4.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
37175
286.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
33147
305.1 IPS |
|
|
Style Transfer (SP)
|
100% |
762
0.98 IPS |
|
|
Style Transfer (HP)
|
100% |
684
0.88 IPS |
|
|
Style Transfer (Q)
|
98% |
3150
4.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
270
9.97 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9986
368.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13712
508.1 IPS |
|
|
Text Classification (SP)
|
100% |
216
288.4 IPS |
|
|
Text Classification (HP)
|
100% |
346
461.2 IPS |
|
|
Text Classification (Q)
|
91% |
180
242.0 IPS |
|
|
Machine Translation (SP)
|
100% |
602
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
601
10.3 IPS |
|
|
Machine Translation (Q)
|
57% |
213
5.20 IPS |
