Google Pixel 10 Pro
Geekbench AI Score
1901
Single Precision Score
1857
Half Precision Score
3123
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 02 2025 04:33 AM |
| Views | 2 |
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% |
1923
357.6 IPS |
|
|
Image Classification (HP)
|
100% |
2161
402.0 IPS |
|
|
Image Classification (Q)
|
100% |
3843
714.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2341
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2276
36.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4129
67.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4107
4.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
2964
3.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
7089
8.41 IPS |
|
|
Object Detection (SP)
|
98% |
1271
101.2 IPS |
|
|
Object Detection (HP)
|
98% |
1236
98.4 IPS |
|
|
Object Detection (Q)
|
83% |
2049
165.5 IPS |
|
|
Face Detection (SP)
|
100% |
2329
27.7 IPS |
|
|
Face Detection (HP)
|
100% |
1767
21.0 IPS |
|
|
Face Detection (Q)
|
95% |
4220
50.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2428
18.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2555
19.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4898
44.9 IPS |
|
|
Style Transfer (SP)
|
89% |
4889
6.35 IPS |
|
|
Style Transfer (HP)
|
89% |
6608
8.58 IPS |
|
|
Style Transfer (Q)
|
98% |
13779
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1365
50.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1396
51.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3467
128.5 IPS |
|
|
Text Classification (SP)
|
100% |
638
851.7 IPS |
|
|
Text Classification (HP)
|
99% |
635
847.5 IPS |
|
|
Text Classification (Q)
|
88% |
969
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1090
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1028
17.7 IPS |
|
|
Machine Translation (Q)
|
50% |
401
14.2 IPS |
