samsung SM-G960F

Geekbench AI Score

17
Single Precision Score
17
Half Precision Score
9
Quantized Score
Geekbench AI 1.4.0 for Android AArch64

Result Information

Upload Date August 21 2025 08:13 PM
Views 3

System Information

AI Information
Framework TensorFlow Lite
Backend CPU
Device ARMv8
System Information
Operating System Android 13
Model samsung SM-G960F
Model IDsamsung SM-G960F
Motherboard exynos9810
Governorschedutil
CPU Information
Name ARMv8
Topology 1 Processor, 8 Cores
Identifier ARM implementer 83 architecture 8 variant 1 part 2 revision 0
Base Frequency 1.79 GHz
Cluster 14 Cores @ 1.79 GHz
Cluster 24 Cores @ 2.70 GHz
Memory Information
Size 3.53 GB

AI Performance

Workload Accuracy Score
Image Classification (SP)
0% 0
4.27 KIPS
 
Image Classification (HP)
0% 0
4.30 KIPS
 
Image Classification (Q)
0% 0
4.19 KIPS
 
Image Segmentation (SP)
73% 17744
306.6 IPS
 
Image Segmentation (HP)
73% 17662
305.2 IPS
 
Image Segmentation (Q)
73% 40213
694.9 IPS
 
Pose Estimation (SP)
0% 0
1.10 KIPS
 
Pose Estimation (HP)
0% 0
1.08 KIPS
 
Pose Estimation (Q)
0% 0
3.45 KIPS
 
Object Detection (SP)
0% 0
1.83 KIPS
 
Object Detection (HP)
0% 0
1.82 KIPS
 
Object Detection (Q)
0% 0
1.22 KIPS
 
Face Detection (SP)
0% 0
420.3 IPS
 
Face Detection (HP)
0% 0
420.7 IPS
 
Face Detection (Q)
0% 0
751.2 IPS
 
Depth Estimation (SP)
0% 0
1.25 KIPS
 
Depth Estimation (HP)
0% 0
1.22 KIPS
 
Depth Estimation (Q)
0% 0
1.05 KIPS
 
Style Transfer (SP)
32% 242121
3.04 KIPS
 
Style Transfer (HP)
32% 236688
2.97 KIPS
 
Style Transfer (Q)
0% 0
7.49 KIPS
 
Image Super-Resolution (SP)
1% 0
2.85 KIPS
 
Image Super-Resolution (HP)
1% 0
2.86 KIPS
 
Image Super-Resolution (Q)
2% 299
3.52 KIPS
 
Text Classification (SP)
29% 575
9.93 KIPS
 
Text Classification (HP)
29% 565
9.76 KIPS
 
Text Classification (Q)
29% 375
6.48 KIPS
 
Machine Translation (SP)
0% 0
8.17 IPS
 
Machine Translation (HP)
0% 0
7.95 IPS
 
Machine Translation (Q)
0% 0
6.29 IPS
 

Compare

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