Geekbench AI Score

2364
Single Precision Score
2415
Half Precision Score
3713
Quantized Score
Geekbench AI 1.5.0 for Android AArch64

Result Information

User SHUBHAMSARAF
Upload Date September 29 2025 08:47 PM
Views 7

System Information

AI Information
Framework TensorFlow Lite
Backend CPU
Device ARM ARMv8
System Information
Operating System Android 16
Model Google Pixel 10 Pro XL
Model IDGoogle Pixel 10 Pro XL
Motherboard mustang
Governorsched_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 12 Cores @ 2.25 GHz
Cluster 25 Cores @ 3.05 GHz
Cluster 31 Core @ 3.78 GHz
Memory Information
Size 15.18 GB

AI Performance

Workload Accuracy Score
Image Classification (SP)
100% 1737
323.1 IPS
 
Image Classification (HP)
100% 1948
362.2 IPS
 
Image Classification (Q)
100% 3486
648.4 IPS
 
Image Segmentation (SP)
100% 2072
33.6 IPS
 
Image Segmentation (HP)
100% 2025
32.8 IPS
 
Image Segmentation (Q)
98% 3453
56.1 IPS
 
Pose Estimation (SP)
100% 4084
4.77 IPS
 
Pose Estimation (HP)
100% 4024
4.69 IPS
 
Pose Estimation (Q)
84% 9569
11.3 IPS
 
Object Detection (SP)
98% 1787
142.2 IPS
 
Object Detection (HP)
98% 1821
144.9 IPS
 
Object Detection (Q)
83% 2522
203.7 IPS
 
Face Detection (SP)
100% 3094
36.8 IPS
 
Face Detection (HP)
100% 2871
34.1 IPS
 
Face Detection (Q)
95% 5402
64.5 IPS
 
Depth Estimation (SP)
99% 3600
27.8 IPS
 
Depth Estimation (HP)
99% 3651
28.2 IPS
 
Depth Estimation (Q)
64% 6345
58.1 IPS
 
Style Transfer (SP)
89% 9252
12.0 IPS
 
Style Transfer (HP)
89% 9246
12.0 IPS
 
Style Transfer (Q)
98% 19735
25.4 IPS
 
Image Super-Resolution (SP)
100% 1903
70.3 IPS
 
Image Super-Resolution (HP)
100% 1891
69.8 IPS
 
Image Super-Resolution (Q)
97% 3628
134.5 IPS
 
Text Classification (SP)
100% 755
1.01 KIPS
 
Text Classification (HP)
99% 869
1.16 KIPS
 
Text Classification (Q)
88% 1116
1.51 KIPS
 
Machine Translation (SP)
100% 1407
24.2 IPS
 
Machine Translation (HP)
100% 1470
25.3 IPS
 
Machine Translation (Q)
50% 626
22.2 IPS
 

Compare

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