Google Pixel 10 Pro
Geekbench AI Score
1938
Single Precision Score
1945
Half Precision Score
3080
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | blakjak |
| Upload Date | September 01 2025 02:46 AM |
| Views | 5 |
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 | 15.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1842
342.5 IPS |
|
|
Image Classification (HP)
|
100% |
2058
382.6 IPS |
|
|
Image Classification (Q)
|
100% |
3576
664.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2369
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2387
38.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4235
68.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4318
5.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
4387
5.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
9294
11.0 IPS |
|
|
Object Detection (SP)
|
98% |
1556
123.9 IPS |
|
|
Object Detection (HP)
|
98% |
1333
106.1 IPS |
|
|
Object Detection (Q)
|
83% |
2040
164.8 IPS |
|
|
Face Detection (SP)
|
100% |
2179
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
2106
25.0 IPS |
|
|
Face Detection (Q)
|
95% |
4842
57.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2291
17.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2372
18.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4692
43.0 IPS |
|
|
Style Transfer (SP)
|
89% |
6328
8.22 IPS |
|
|
Style Transfer (HP)
|
89% |
6261
8.13 IPS |
|
|
Style Transfer (Q)
|
98% |
12355
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1230
45.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1310
48.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3362
124.6 IPS |
|
|
Text Classification (SP)
|
100% |
615
820.9 IPS |
|
|
Text Classification (HP)
|
99% |
643
858.6 IPS |
|
|
Text Classification (Q)
|
88% |
737
994.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1070
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1026
17.7 IPS |
|
|
Machine Translation (Q)
|
50% |
385
13.7 IPS |
