Google Pixel 10 Pro
Geekbench AI Score
2622
Single Precision Score
2558
Half Precision Score
3823
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 08:34 AM |
| Views | 1 |
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% |
2104
391.2 IPS |
|
|
Image Classification (HP)
|
100% |
2143
398.6 IPS |
|
|
Image Classification (Q)
|
100% |
3945
733.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2444
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2348
38.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4304
70.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4437
5.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
4273
4.99 IPS |
|
|
Pose Estimation (Q)
|
84% |
10077
12.0 IPS |
|
|
Object Detection (SP)
|
98% |
1659
132.0 IPS |
|
|
Object Detection (HP)
|
98% |
1762
140.2 IPS |
|
|
Object Detection (Q)
|
83% |
2832
228.8 IPS |
|
|
Face Detection (SP)
|
100% |
3294
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
3231
38.4 IPS |
|
|
Face Detection (Q)
|
95% |
6934
82.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3908
30.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3933
30.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
6342
58.1 IPS |
|
|
Style Transfer (SP)
|
89% |
9881
12.8 IPS |
|
|
Style Transfer (HP)
|
89% |
9828
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
19986
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2115
78.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2031
75.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5367
198.9 IPS |
|
|
Text Classification (SP)
|
100% |
1000
1.33 KIPS |
|
|
Text Classification (HP)
|
99% |
952
1.27 KIPS |
|
|
Text Classification (Q)
|
88% |
728
981.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1513
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1312
22.6 IPS |
|
|
Machine Translation (Q)
|
50% |
401
14.2 IPS |
