Google Pixel 10 Pro
Geekbench AI Score
2650
Single Precision Score
2635
Half Precision Score
4499
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | edugas |
| Upload Date | November 23 2025 02:47 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1897
352.7 IPS |
|
|
Image Classification (HP)
|
100% |
2113
393.0 IPS |
|
|
Image Classification (Q)
|
100% |
3614
672.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2373
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2440
39.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4168
67.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4479
5.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
4370
5.10 IPS |
|
|
Pose Estimation (Q)
|
84% |
10360
12.3 IPS |
|
|
Object Detection (SP)
|
98% |
1849
147.1 IPS |
|
|
Object Detection (HP)
|
98% |
1832
145.8 IPS |
|
|
Object Detection (Q)
|
83% |
3198
258.4 IPS |
|
|
Face Detection (SP)
|
100% |
3358
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
3212
38.2 IPS |
|
|
Face Detection (Q)
|
95% |
7561
90.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3822
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3844
29.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
6534
59.8 IPS |
|
|
Style Transfer (SP)
|
89% |
10069
13.1 IPS |
|
|
Style Transfer (HP)
|
89% |
9931
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
20599
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2088
77.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2048
75.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5025
186.2 IPS |
|
|
Text Classification (SP)
|
100% |
1016
1.36 KIPS |
|
|
Text Classification (HP)
|
99% |
1013
1.35 KIPS |
|
|
Text Classification (Q)
|
88% |
1543
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1676
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1542
26.6 IPS |
|
|
Machine Translation (Q)
|
50% |
864
30.7 IPS |
