Geekbench AI Score

143
Single Precision Score
143
Half Precision Score
155
Quantized Score
Geekbench AI 1.2.0 for Android AArch64

Result Information

Upload Date April 28 2025 12:48 AM
Views 4

System Information

AI Information
Framework TensorFlow Lite
Backend CPU
Device ARM ARMv8
System Information
Operating System Android 15
Model Danew Dslide_115
Model IDDanew Dslide_115
Motherboard exdroid
CPU Information
Name ARM ARMv8
Topology 1 Processor, 8 Cores
Identifier ARM implementer 65 architecture 8 variant 1 part 3337 revision 0
Base Frequency 1.42 GHz
Cluster 14 Cores @ 1.42 GHz
Cluster 22 Cores @ 1.61 GHz
Cluster 32 Cores @ 1.80 GHz
Memory Information
Size 3.66 GB

AI Performance

Workload Accuracy Score
Image Classification (SP)
100% 100
18.6 IPS
 
Image Classification (HP)
100% 92
17.1 IPS
 
Image Classification (Q)
100% 172
31.9 IPS
 
Image Segmentation (SP)
100% 124
2.01 IPS
 
Image Segmentation (HP)
100% 123
1.99 IPS
 
Image Segmentation (Q)
98% 191
3.11 IPS
 
Pose Estimation (SP)
100% 351
0.41 IPS
 
Pose Estimation (HP)
100% 313
0.37 IPS
 
Pose Estimation (Q)
84% 224
0.27 IPS
 
Object Detection (SP)
100% 72
5.67 IPS
 
Object Detection (HP)
100% 68
5.43 IPS
 
Object Detection (Q)
83% 101
8.18 IPS
 
Face Detection (SP)
100% 170
2.02 IPS
 
Face Detection (HP)
100% 174
2.07 IPS
 
Face Detection (Q)
95% 236
2.82 IPS
 
Depth Estimation (SP)
100% 183
1.41 IPS
 
Depth Estimation (HP)
99% 204
1.57 IPS
 
Depth Estimation (Q)
64% 193
1.77 IPS
 
Style Transfer (SP)
89% 518
0.67 IPS
 
Style Transfer (HP)
89% 518
0.67 IPS
 
Style Transfer (Q)
98% 527
0.68 IPS
 
Image Super-Resolution (SP)
100% 114
4.21 IPS
 
Image Super-Resolution (HP)
100% 115
4.26 IPS
 
Image Super-Resolution (Q)
97% 117
4.33 IPS
 
Text Classification (SP)
100% 63
83.8 IPS
 
Text Classification (HP)
100% 70
93.5 IPS
 
Text Classification (Q)
88% 85
114.6 IPS
 
Machine Translation (SP)
100% 105
1.80 IPS
 
Machine Translation (HP)
100% 106
1.82 IPS
 
Machine Translation (Q)
50% 48
1.69 IPS
 

Compare

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