Google Pixel 10 Pro
Geekbench AI Score
477
Single Precision Score
962
Half Precision Score
4000
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 21 2025 11:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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 | 14.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
330
61.4 IPS |
|
|
Image Classification (HP)
|
100% |
331
61.6 IPS |
|
|
Image Classification (Q)
|
99% |
2659
495.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
426
6.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
429
6.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
10279
167.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
540
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
549
0.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
2736
3.21 IPS |
|
|
Object Detection (SP)
|
100% |
273
21.7 IPS |
|
|
Object Detection (HP)
|
100% |
274
21.7 IPS |
|
|
Object Detection (Q)
|
87% |
3373
270.6 IPS |
|
|
Face Detection (SP)
|
100% |
739
8.78 IPS |
|
|
Face Detection (HP)
|
100% |
736
8.74 IPS |
|
|
Face Detection (Q)
|
97% |
26272
313.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
649
5.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
27484
211.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
29143
268.3 IPS |
|
|
Style Transfer (SP)
|
100% |
984
1.27 IPS |
|
|
Style Transfer (HP)
|
100% |
1012
1.30 IPS |
|
|
Style Transfer (Q)
|
98% |
4239
5.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
379
14.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8723
322.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11740
435.0 IPS |
|
|
Text Classification (SP)
|
100% |
248
331.1 IPS |
|
|
Text Classification (HP)
|
100% |
250
334.1 IPS |
|
|
Text Classification (Q)
|
91% |
284
382.3 IPS |
|
|
Machine Translation (SP)
|
100% |
668
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
716
12.3 IPS |
|
|
Machine Translation (Q)
|
57% |
385
9.41 IPS |
