Google Pixel 10 Pro
Geekbench AI Score
529
Single Precision Score
1054
Half Precision Score
5015
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | blakjak |
| Upload Date | September 01 2025 02:42 AM |
| Views | 8 |
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 | 15.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
330
61.3 IPS |
|
|
Image Classification (HP)
|
100% |
329
61.1 IPS |
|
|
Image Classification (Q)
|
99% |
7403
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
423
6.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
427
6.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
10865
176.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
535
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
488
0.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
3967
4.65 IPS |
|
|
Object Detection (SP)
|
100% |
327
26.0 IPS |
|
|
Object Detection (HP)
|
100% |
331
26.3 IPS |
|
|
Object Detection (Q)
|
87% |
4708
377.6 IPS |
|
|
Face Detection (SP)
|
100% |
736
8.75 IPS |
|
|
Face Detection (HP)
|
100% |
743
8.83 IPS |
|
|
Face Detection (Q)
|
97% |
24416
291.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
632
4.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
25159
193.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
26999
248.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1023
1.32 IPS |
|
|
Style Transfer (HP)
|
100% |
964
1.24 IPS |
|
|
Style Transfer (Q)
|
98% |
3878
5.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
391
14.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11854
437.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
16758
621.0 IPS |
|
|
Text Classification (SP)
|
100% |
540
721.2 IPS |
|
|
Text Classification (HP)
|
100% |
543
725.1 IPS |
|
|
Text Classification (Q)
|
91% |
425
571.9 IPS |
|
|
Machine Translation (SP)
|
100% |
703
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
646
11.1 IPS |
|
|
Machine Translation (Q)
|
57% |
368
9.00 IPS |
