Google Pixel 10 Pro
Geekbench AI Score
2683
Single Precision Score
3277
Half Precision Score
4811
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | CatCat |
| Upload Date | March 27 2026 11:51 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2137
397.4 IPS |
|
|
Image Classification (HP)
|
100% |
1828
339.9 IPS |
|
|
Image Classification (Q)
|
99% |
3598
671.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2420
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2402
38.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4257
69.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4548
5.31 IPS |
|
|
Pose Estimation (HP)
|
92% |
8866
10.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
10749
12.6 IPS |
|
|
Object Detection (SP)
|
98% |
1996
158.9 IPS |
|
|
Object Detection (HP)
|
97% |
1481
117.9 IPS |
|
|
Object Detection (Q)
|
85% |
3453
278.2 IPS |
|
|
Face Detection (SP)
|
100% |
3444
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
4988
59.3 IPS |
|
|
Face Detection (Q)
|
97% |
8121
96.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3474
26.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
5785
44.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
7358
67.5 IPS |
|
|
Style Transfer (SP)
|
89% |
10048
13.0 IPS |
|
|
Style Transfer (HP)
|
88% |
10191
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
21073
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2060
76.1 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
3588
133.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5427
201.1 IPS |
|
|
Text Classification (SP)
|
100% |
1010
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
1321
1.76 KIPS |
|
|
Text Classification (Q)
|
93% |
1718
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1649
28.4 IPS |
|
|
Machine Translation (HP)
|
96% |
1781
30.8 IPS |
|
|
Machine Translation (Q)
|
55% |
996
26.8 IPS |
