Geekbench AI Score

291
Single Precision Score
286
Half Precision Score
291
Quantized Score
Geekbench AI 1.4.0 for Android AArch64

Result Information

Upload Date July 10 2025 06:46 AM
Views 4

System Information

AI Information
Framework TensorFlow Lite
Backend CPU
Device Samsung Exynos 850
System Information
Operating System Android 12
Model Samsung Galaxy A21s
Model IDsamsung SM-A217F
Motherboard exynos850
Governorenergy_step
CPU Information
Name ARM ARMv8
Topology 1 Processor, 8 Cores
Identifier ARM implementer 65 architecture 8 variant 0 part 3333 revision 1
Base Frequency 2.00 GHz
Cluster 18 Cores @ 2.00 GHz
Memory Information
Size 3.62 GB

AI Performance

Workload Accuracy Score
Image Classification (SP)
100% 114
21.1 IPS
 
Image Classification (HP)
100% 133
24.8 IPS
 
Image Classification (Q)
100% 183
34.1 IPS
 
Image Segmentation (SP)
100% 186
3.02 IPS
 
Image Segmentation (HP)
100% 186
3.02 IPS
 
Image Segmentation (Q)
98% 269
4.38 IPS
 
Pose Estimation (SP)
100% 695
0.81 IPS
 
Pose Estimation (HP)
100% 692
0.81 IPS
 
Pose Estimation (Q)
84% 464
0.55 IPS
 
Object Detection (SP)
100% 146
11.6 IPS
 
Object Detection (HP)
100% 150
11.9 IPS
 
Object Detection (Q)
83% 185
14.9 IPS
 
Face Detection (SP)
100% 370
4.40 IPS
 
Face Detection (HP)
100% 323
3.83 IPS
 
Face Detection (Q)
95% 466
5.57 IPS
 
Depth Estimation (SP)
100% 500
3.85 IPS
 
Depth Estimation (HP)
99% 400
3.08 IPS
 
Depth Estimation (Q)
64% 461
4.23 IPS
 
Style Transfer (SP)
89% 1384
1.80 IPS
 
Style Transfer (HP)
89% 1359
1.76 IPS
 
Style Transfer (Q)
98% 1288
1.66 IPS
 
Image Super-Resolution (SP)
100% 265
9.78 IPS
 
Image Super-Resolution (HP)
100% 276
10.2 IPS
 
Image Super-Resolution (Q)
97% 273
10.1 IPS
 
Text Classification (SP)
100% 138
183.6 IPS
 
Text Classification (HP)
100% 137
183.0 IPS
 
Text Classification (Q)
88% 152
204.5 IPS
 
Machine Translation (SP)
100% 219
3.78 IPS
 
Machine Translation (HP)
100% 218
3.76 IPS
 
Machine Translation (Q)
50% 90
3.21 IPS
 

Compare

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