Google Pixel 10 Pro
Geekbench AI Score
488
Single Precision Score
462
Half Precision Score
400
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | CatCat |
| Upload Date | March 27 2026 11:59 AM |
| Views | 7 |
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% |
282
52.5 IPS |
|
|
Image Classification (HP)
|
100% |
286
53.2 IPS |
|
|
Image Classification (Q)
|
100% |
275
51.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
473
7.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
468
7.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
456
7.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
2303
2.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
2268
2.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
2247
2.63 IPS |
|
|
Object Detection (SP)
|
100% |
265
21.0 IPS |
|
|
Object Detection (HP)
|
100% |
260
20.6 IPS |
|
|
Object Detection (Q)
|
84% |
239
19.3 IPS |
|
|
Face Detection (SP)
|
100% |
1194
14.2 IPS |
|
|
Face Detection (HP)
|
100% |
1082
12.9 IPS |
|
|
Face Detection (Q)
|
97% |
1010
12.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1171
9.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
1128
8.69 IPS |
|
|
Depth Estimation (Q)
|
63% |
935
8.68 IPS |
|
|
Style Transfer (SP)
|
100% |
3790
4.87 IPS |
|
|
Style Transfer (HP)
|
100% |
3755
4.83 IPS |
|
|
Style Transfer (Q)
|
98% |
3710
4.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
854
31.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
854
31.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
851
31.5 IPS |
|
|
Text Classification (SP)
|
35% |
14
126.8 IPS |
|
|
Text Classification (HP)
|
35% |
10
101.5 IPS |
|
|
Text Classification (Q)
|
32% |
12
150.9 IPS |
|
|
Machine Translation (SP)
|
100% |
149
2.56 IPS |
|
|
Machine Translation (HP)
|
100% |
146
2.51 IPS |
|
|
Machine Translation (Q)
|
43% |
44
2.39 IPS |
