Google Pixel 10 Pro
Geekbench AI Score
449
Single Precision Score
858
Half Precision Score
3315
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | CatCat |
| Upload Date | April 04 2026 03:40 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G5 |
| System Information | |
|---|---|
| Operating System | Android 17 |
| 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% |
323
60.1 IPS |
|
|
Image Classification (HP)
|
100% |
325
60.4 IPS |
|
|
Image Classification (Q)
|
99% |
4855
905.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
419
6.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
422
6.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
9730
158.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
481
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
384
0.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
2195
2.57 IPS |
|
|
Object Detection (SP)
|
100% |
283
22.4 IPS |
|
|
Object Detection (HP)
|
100% |
260
20.6 IPS |
|
|
Object Detection (Q)
|
87% |
3256
261.2 IPS |
|
|
Face Detection (SP)
|
100% |
639
7.59 IPS |
|
|
Face Detection (HP)
|
100% |
609
7.23 IPS |
|
|
Face Detection (Q)
|
97% |
18943
225.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
531
4.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
24844
191.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
25300
232.9 IPS |
|
|
Style Transfer (SP)
|
100% |
785
1.01 IPS |
|
|
Style Transfer (HP)
|
100% |
768
0.99 IPS |
|
|
Style Transfer (Q)
|
98% |
3582
4.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8600
317.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12849
476.1 IPS |
|
|
Text Classification (SP)
|
100% |
388
517.5 IPS |
|
|
Text Classification (HP)
|
100% |
273
365.0 IPS |
|
|
Text Classification (Q)
|
91% |
134
179.5 IPS |
|
|
Machine Translation (SP)
|
100% |
618
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
583
10.0 IPS |
|
|
Machine Translation (Q)
|
57% |
161
3.94 IPS |
