Geekbench AI Score

206
Single Precision Score
213
Half Precision Score
222
Quantized Score
Geekbench AI 1.0.0 for Android AArch64

Result Information

Upload Date August 15 2024 08:13 PM
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 2.64 GB

AI Performance

Workload Accuracy Score
Image Classification (SP)
100% 75
14.0 IPS
 
Image Classification (HP)
100% 76
14.2 IPS
 
Image Classification (Q)
100% 111
20.7 IPS
 
Image Segmentation (SP)
100% 96
1.56 IPS
 
Image Segmentation (HP)
100% 97
1.57 IPS
 
Image Segmentation (Q)
98% 155
2.52 IPS
 
Pose Estimation (SP)
100% 352
0.41 IPS
 
Pose Estimation (HP)
100% 389
0.45 IPS
 
Pose Estimation (Q)
84% 318
0.38 IPS
 
Object Detection (SP)
100% 111
8.80 IPS
 
Object Detection (HP)
100% 111
8.82 IPS
 
Object Detection (Q)
87% 126
10.1 IPS
 
Face Detection (SP)
100% 236
2.81 IPS
 
Face Detection (HP)
100% 284
3.38 IPS
 
Face Detection (Q)
95% 407
4.85 IPS
 
Depth Estimation (SP)
100% 397
3.06 IPS
 
Depth Estimation (HP)
100% 412
3.18 IPS
 
Depth Estimation (Q)
75% 445
3.61 IPS
 
Style Transfer (SP)
89% 1155
1.50 IPS
 
Style Transfer (HP)
89% 1157
1.50 IPS
 
Style Transfer (Q)
98% 1099
1.42 IPS
 
Image Super-Resolution (SP)
100% 224
8.29 IPS
 
Image Super-Resolution (HP)
100% 226
8.33 IPS
 
Image Super-Resolution (Q)
97% 234
8.66 IPS
 
Text Classification (SP)
100% 112
149.4 IPS
 
Text Classification (HP)
100% 112
149.6 IPS
 
Text Classification (Q)
88% 120
162.3 IPS
 
Machine Translation (SP)
100% 185
3.19 IPS
 
Machine Translation (HP)
100% 183
3.15 IPS
 
Machine Translation (Q)
50% 77
2.74 IPS
 

Compare

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