Geekbench AI Score

239
Single Precision Score
329
Half Precision Score
338
Quantized Score
Geekbench AI 1.2.0 for Android AArch64

Result Information

User legacybenchmark
Upload Date April 12 2025 07:49 PM
Views 7

System Information

AI Information
Framework TensorFlow Lite
Backend GPU
Device Samsung Exynos 1280
System Information
Operating System Android 14
Model Samsung Galaxy A53 5G
Model IDsamsung SM-A536B
Motherboard s5e8825
Governorenergy_aware
CPU Information
Name ARM ARMv8
Topology 1 Processor, 8 Cores
Identifier ARM implementer 65 architecture 8 variant 1 part 3393 revision 1
Base Frequency 2.00 GHz
Cluster 16 Cores @ 2.00 GHz
Cluster 22 Cores @ 2.40 GHz
Memory Information
Size 5.26 GB

AI Performance

Workload Accuracy Score
Image Classification (SP)
100% 170
31.6 IPS
 
Image Classification (HP)
100% 302
56.2 IPS
 
Image Classification (Q)
99% 284
53.1 IPS
 
Image Segmentation (SP)
100% 232
3.77 IPS
 
Image Segmentation (HP)
100% 387
6.27 IPS
 
Image Segmentation (Q)
98% 377
6.13 IPS
 
Pose Estimation (SP)
100% 153
0.18 IPS
 
Pose Estimation (HP)
100% 180
0.21 IPS
 
Pose Estimation (Q)
96% 179
0.21 IPS
 
Object Detection (SP)
100% 142
11.3 IPS
 
Object Detection (HP)
100% 236
18.7 IPS
 
Object Detection (Q)
83% 231
18.7 IPS
 
Face Detection (SP)
100% 553
6.57 IPS
 
Face Detection (HP)
100% 819
9.74 IPS
 
Face Detection (Q)
97% 763
9.10 IPS
 
Depth Estimation (SP)
100% 295
2.27 IPS
 
Depth Estimation (HP)
99% 381
2.94 IPS
 
Depth Estimation (Q)
62% 308
2.91 IPS
 
Style Transfer (SP)
100% 596
0.77 IPS
 
Style Transfer (HP)
100% 840
1.08 IPS
 
Style Transfer (Q)
98% 837
1.08 IPS
 
Image Super-Resolution (SP)
100% 158
5.83 IPS
 
Image Super-Resolution (HP)
100% 244
9.02 IPS
 
Image Super-Resolution (Q)
97% 242
8.97 IPS
 
Text Classification (SP)
100% 168
224.2 IPS
 
Text Classification (HP)
100% 167
222.4 IPS
 
Text Classification (Q)
91% 335
450.2 IPS
 
Machine Translation (SP)
100% 282
4.86 IPS
 
Machine Translation (HP)
100% 282
4.85 IPS
 
Machine Translation (Q)
57% 278
6.78 IPS
 

Compare

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