Google Pixel 10 Pro
Geekbench AI Score
2155
Single Precision Score
2152
Half Precision Score
3336
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 10 2025 07:55 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% |
1812
337.0 IPS |
|
|
Image Classification (HP)
|
100% |
1743
324.1 IPS |
|
|
Image Classification (Q)
|
100% |
3512
653.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1889
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2060
33.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3888
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4036
4.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4187
4.89 IPS |
|
|
Pose Estimation (Q)
|
84% |
9824
11.7 IPS |
|
|
Object Detection (SP)
|
98% |
1699
135.2 IPS |
|
|
Object Detection (HP)
|
98% |
1680
133.7 IPS |
|
|
Object Detection (Q)
|
83% |
2532
204.5 IPS |
|
|
Face Detection (SP)
|
100% |
3029
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
3098
36.8 IPS |
|
|
Face Detection (Q)
|
95% |
6360
75.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3646
28.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3800
29.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
6550
60.0 IPS |
|
|
Style Transfer (SP)
|
89% |
9202
11.9 IPS |
|
|
Style Transfer (HP)
|
89% |
8049
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
13509
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1426
52.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1412
52.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3578
132.6 IPS |
|
|
Text Classification (SP)
|
100% |
634
845.6 IPS |
|
|
Text Classification (HP)
|
99% |
629
839.3 IPS |
|
|
Text Classification (Q)
|
88% |
626
844.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1003
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1004
17.3 IPS |
|
|
Machine Translation (Q)
|
50% |
399
14.1 IPS |
