Geekbench AI Score

54
Single Precision Score
55
Half Precision Score
133
Quantized Score
Geekbench AI 1.1.0 for Android AArch64

Result Information

Upload Date November 25 2024 10:32 AM
Views 1

System Information

AI Information
Framework TensorFlow Lite
Backend NNAPI
Device ARM Qualcomm
System Information
Operating System Android 14
Model OPPO CPH2307
Model IDOPPO CPH2307
Motherboard lahaina
Governoruag
CPU Information
Name ARM Qualcomm
Topology 1 Processor, 8 Cores
Identifier ARM implementer 65 architecture 8 variant 1 part 3396 revision 0
Base Frequency 1.80 GHz
Cluster 14 Cores @ 1.80 GHz
Cluster 23 Cores @ 2.42 GHz
Cluster 31 Core @ 2.84 GHz
Memory Information
Size 7.10 GB

AI Performance

Workload Accuracy Score
Image Classification (SP)
100% 30
5.60 IPS
 
Image Classification (HP)
100% 31
5.75 IPS
 
Image Classification (Q)
99% 88
16.5 IPS
 
Image Segmentation (SP)
100% 39
0.64 IPS
 
Image Segmentation (HP)
100% 40
0.65 IPS
 
Image Segmentation (Q)
98% 80
1.31 IPS
 
Pose Estimation (SP)
100% 57
0.07 IPS
 
Pose Estimation (HP)
100% 57
0.07 IPS
 
Pose Estimation (Q)
98% 237
0.28 IPS
 
Object Detection (SP)
100% 31
2.47 IPS
 
Object Detection (HP)
100% 31
2.47 IPS
 
Object Detection (Q)
87% 98
7.86 IPS
 
Face Detection (SP)
100% 74
0.88 IPS
 
Face Detection (HP)
100% 75
0.89 IPS
 
Face Detection (Q)
97% 198
2.36 IPS
 
Depth Estimation (SP)
100% 72
0.55 IPS
 
Depth Estimation (HP)
99% 71
0.55 IPS
 
Depth Estimation (Q)
64% 168
1.52 IPS
 
Style Transfer (SP)
100% 130
0.17 IPS
 
Style Transfer (HP)
100% 132
0.17 IPS
 
Style Transfer (Q)
98% 350
0.45 IPS
 
Image Super-Resolution (SP)
100% 39
1.43 IPS
 
Image Super-Resolution (HP)
100% 39
1.43 IPS
 
Image Super-Resolution (Q)
97% 143
5.29 IPS
 
Text Classification (SP)
100% 49
66.0 IPS
 
Text Classification (HP)
100% 51
68.0 IPS
 
Text Classification (Q)
91% 95
128.3 IPS
 
Machine Translation (SP)
100% 84
1.44 IPS
 
Machine Translation (HP)
100% 84
1.44 IPS
 
Machine Translation (Q)
57% 71
1.74 IPS
 

Compare

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