Google Pixel 10 Pro
Geekbench AI Score
485
Single Precision Score
458
Half Precision Score
400
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | CatCat |
| Upload Date | April 04 2026 03:30 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G5 |
| System Information | |
|---|---|
| Operating System | Android 17 |
| 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% |
288
53.6 IPS |
|
|
Image Classification (HP)
|
100% |
280
52.1 IPS |
|
|
Image Classification (Q)
|
100% |
268
49.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
502
8.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
455
7.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
478
7.78 IPS |
|
|
Pose Estimation (SP)
|
100% |
2254
2.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
2276
2.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
2220
2.60 IPS |
|
|
Object Detection (SP)
|
100% |
256
20.3 IPS |
|
|
Object Detection (HP)
|
100% |
255
20.3 IPS |
|
|
Object Detection (Q)
|
84% |
234
18.9 IPS |
|
|
Face Detection (SP)
|
100% |
1145
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
1075
12.8 IPS |
|
|
Face Detection (Q)
|
97% |
1024
12.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1169
9.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
1107
8.53 IPS |
|
|
Depth Estimation (Q)
|
63% |
949
8.82 IPS |
|
|
Style Transfer (SP)
|
100% |
3768
4.84 IPS |
|
|
Style Transfer (HP)
|
100% |
3741
4.81 IPS |
|
|
Style Transfer (Q)
|
98% |
3730
4.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
848
31.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
876
32.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
877
32.5 IPS |
|
|
Text Classification (SP)
|
35% |
14
123.0 IPS |
|
|
Text Classification (HP)
|
35% |
10
100.6 IPS |
|
|
Text Classification (Q)
|
32% |
12
155.3 IPS |
|
|
Machine Translation (SP)
|
100% |
146
2.52 IPS |
|
|
Machine Translation (HP)
|
100% |
141
2.44 IPS |
|
|
Machine Translation (Q)
|
43% |
42
2.29 IPS |
