Google Pixel 10 Pro
Geekbench AI Score
2676
Single Precision Score
2689
Half Precision Score
4576
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 17 2026 05:09 AM |
| 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 | 14.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2113
392.9 IPS |
|
|
Image Classification (HP)
|
100% |
2100
390.6 IPS |
|
|
Image Classification (Q)
|
100% |
3940
732.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2393
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2385
38.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4253
69.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4529
5.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
4410
5.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
10560
12.5 IPS |
|
|
Object Detection (SP)
|
98% |
1982
157.7 IPS |
|
|
Object Detection (HP)
|
98% |
2020
160.8 IPS |
|
|
Object Detection (Q)
|
83% |
3201
258.6 IPS |
|
|
Face Detection (SP)
|
100% |
3603
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
3507
41.7 IPS |
|
|
Face Detection (Q)
|
95% |
8021
95.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3669
28.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3740
28.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
7162
65.6 IPS |
|
|
Style Transfer (SP)
|
89% |
10015
13.0 IPS |
|
|
Style Transfer (HP)
|
89% |
10034
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
21249
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2120
78.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2105
77.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5135
190.3 IPS |
|
|
Text Classification (SP)
|
100% |
918
1.23 KIPS |
|
|
Text Classification (HP)
|
99% |
1022
1.36 KIPS |
|
|
Text Classification (Q)
|
88% |
1662
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1613
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1565
27.0 IPS |
|
|
Machine Translation (Q)
|
50% |
683
24.3 IPS |
