Geekbench AI Score

837
Single Precision Score
840
Half Precision Score
1824
Quantized Score
Geekbench AI 1.4.0 for Android AArch64

Result Information

Upload Date July 08 2025 01:30 PM
Views 4

System Information

AI Information
Framework TensorFlow Lite
Backend CPU
Device ARM ARMv8
System Information
Operating System Android 15
Model motorola motorola edge 60 fusion
Model IDmotorola motorola edge 60 fusion
Motherboard scout
CPU Information
Name ARM ARMv8
Topology 1 Processor, 8 Cores
Identifier ARM implementer 65 architecture 8 variant 1 part 3393 revision 0
Base Frequency 2.00 GHz
Cluster 14 Cores @ 2.00 GHz
Cluster 24 Cores @ 2.60 GHz
Memory Information
Size 11.16 GB

AI Performance

Workload Accuracy Score
Image Classification (SP)
100% 407
75.6 IPS
 
Image Classification (HP)
100% 416
77.4 IPS
 
Image Classification (Q)
100% 1300
241.7 IPS
 
Image Segmentation (SP)
100% 486
7.88 IPS
 
Image Segmentation (HP)
100% 499
8.08 IPS
 
Image Segmentation (Q)
98% 1493
24.3 IPS
 
Pose Estimation (SP)
100% 1847
2.15 IPS
 
Pose Estimation (HP)
100% 1853
2.16 IPS
 
Pose Estimation (Q)
84% 3421
4.06 IPS
 
Object Detection (SP)
100% 408
32.3 IPS
 
Object Detection (HP)
100% 410
32.5 IPS
 
Object Detection (Q)
83% 1253
101.2 IPS
 
Face Detection (SP)
100% 1003
11.9 IPS
 
Face Detection (HP)
100% 994
11.8 IPS
 
Face Detection (Q)
95% 3065
36.6 IPS
 
Depth Estimation (SP)
100% 1407
10.8 IPS
 
Depth Estimation (HP)
99% 1373
10.6 IPS
 
Depth Estimation (Q)
64% 3087
28.3 IPS
 
Style Transfer (SP)
89% 3323
4.31 IPS
 
Style Transfer (HP)
89% 3346
4.34 IPS
 
Style Transfer (Q)
98% 7719
9.95 IPS
 
Image Super-Resolution (SP)
100% 774
28.6 IPS
 
Image Super-Resolution (HP)
100% 772
28.5 IPS
 
Image Super-Resolution (Q)
97% 1880
69.7 IPS
 
Text Classification (SP)
100% 453
605.2 IPS
 
Text Classification (HP)
100% 458
611.7 IPS
 
Text Classification (Q)
88% 842
1.14 KIPS
 
Machine Translation (SP)
100% 693
11.9 IPS
 
Machine Translation (HP)
100% 693
11.9 IPS
 
Machine Translation (Q)
50% 424
15.1 IPS
 

Compare

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