Geekbench AI Score

127
Single Precision Score
185
Half Precision Score
189
Quantized Score
Geekbench AI 1.2.0 for Android AArch64

Result Information

Upload Date February 14 2025 07:55 PM
Views 7

System Information

AI Information
Framework TensorFlow Lite
Backend GPU
Device Qualcomm Snapdragon 730G
System Information
Operating System Android 12
Model Samsung Galaxy M51
Model IDsamsung SM-M515F
Motherboard sm6150
Governorschedutil
CPU Information
Name Qualcomm Qualcomm
Topology 1 Processor, 8 Cores
Identifier ARM implementer 81 architecture 8 variant 13 part 2052 revision 14
Base Frequency 1.80 GHz
Cluster 16 Cores @ 1.80 GHz
Cluster 22 Cores @ 2.21 GHz
Memory Information
Size 7.34 GB

AI Performance

Workload Accuracy Score
Image Classification (SP)
100% 72
13.4 IPS
 
Image Classification (HP)
100% 113
21.1 IPS
 
Image Classification (Q)
97% 126
23.4 IPS
 
Image Segmentation (SP)
100% 84
1.35 IPS
 
Image Segmentation (HP)
100% 135
2.18 IPS
 
Image Segmentation (Q)
98% 142
2.32 IPS
 
Pose Estimation (SP)
100% 152
0.18 IPS
 
Pose Estimation (HP)
100% 199
0.23 IPS
 
Pose Estimation (Q)
95% 194
0.23 IPS
 
Object Detection (SP)
100% 60
4.74 IPS
 
Object Detection (HP)
100% 87
6.90 IPS
 
Object Detection (Q)
89% 89
7.10 IPS
 
Face Detection (SP)
100% 166
1.97 IPS
 
Face Detection (HP)
100% 289
3.43 IPS
 
Face Detection (Q)
97% 310
3.70 IPS
 
Depth Estimation (SP)
100% 172
1.33 IPS
 
Depth Estimation (HP)
99% 276
2.13 IPS
 
Depth Estimation (Q)
62% 233
2.21 IPS
 
Style Transfer (SP)
100% 317
0.41 IPS
 
Style Transfer (HP)
100% 681
0.88 IPS
 
Style Transfer (Q)
98% 659
0.85 IPS
 
Image Super-Resolution (SP)
100% 85
3.13 IPS
 
Image Super-Resolution (HP)
100% 127
4.71 IPS
 
Image Super-Resolution (Q)
97% 129
4.79 IPS
 
Text Classification (SP)
100% 123
163.6 IPS
 
Text Classification (HP)
100% 122
162.4 IPS
 
Text Classification (Q)
91% 197
264.7 IPS
 
Machine Translation (SP)
100% 212
3.65 IPS
 
Machine Translation (HP)
100% 217
3.73 IPS
 
Machine Translation (Q)
57% 158
3.86 IPS
 

Compare

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