Google Pixel 10 Pro
Geekbench AI Score
2114
Single Precision Score
2675
Half Precision Score
3306
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Alamri |
| Upload Date | April 18 2026 09:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G5 |
| 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 | 15.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1867
347.1 IPS |
|
|
Image Classification (HP)
|
100% |
1833
340.9 IPS |
|
|
Image Classification (Q)
|
99% |
1677
312.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2380
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2019
32.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4169
67.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4284
5.00 IPS |
|
|
Pose Estimation (HP)
|
92% |
8473
9.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
10445
12.2 IPS |
|
|
Object Detection (SP)
|
98% |
1650
131.3 IPS |
|
|
Object Detection (HP)
|
97% |
1486
118.3 IPS |
|
|
Object Detection (Q)
|
85% |
1426
114.9 IPS |
|
|
Face Detection (SP)
|
100% |
1602
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
3957
47.0 IPS |
|
|
Face Detection (Q)
|
97% |
8019
95.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3434
26.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
5851
45.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5757
52.8 IPS |
|
|
Style Transfer (SP)
|
89% |
9677
12.6 IPS |
|
|
Style Transfer (HP)
|
88% |
9860
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
19816
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1616
59.7 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1666
61.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2364
87.6 IPS |
|
|
Text Classification (SP)
|
100% |
522
697.0 IPS |
|
|
Text Classification (HP)
|
100% |
648
864.9 IPS |
|
|
Text Classification (Q)
|
93% |
816
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1268
21.8 IPS |
|
|
Machine Translation (HP)
|
96% |
1634
28.3 IPS |
|
|
Machine Translation (Q)
|
55% |
851
22.9 IPS |
