Geekbench ML Score

250
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64

Result Information

Upload Date June 17 2025 06:48 AM
Views 4

System Information

System Information
Operating System Android 12
Model DTEN Bar_DCR200
Model IDDTEN Bar_DCR200
Motherboard R1-003
Governorperformance
CPU Information
Name ARM ARMv8
Topology 1 Processor, 8 Cores
Identifier ARM implementer 65 architecture 8 variant 4 part 3339 revision 0
Base Frequency 1.80 GHz
Cluster 14 Cores @ 1.80 GHz
Cluster 24 Cores @ 2.35 GHz
Memory Information
Size 15.33 GB
Inference Information
Framework TensorFlow Lite
Backend NNAPI
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 115
21.6 IPS
 
Image Classification (F16)
100% 116
21.6 IPS
 
Image Classification (I8)
97% 262
49.0 IPS
 
Image Segmentation (F32)
100% 150
2.50 IPS
 
Image Segmentation (F16)
100% 150
2.50 IPS
 
Image Segmentation (I8)
98% 279
4.66 IPS
 
Pose Estimation (F32)
100% 197
0.24 IPS
 
Pose Estimation (F16)
100% 197
0.24 IPS
 
Pose Estimation (I8)
100% 757
0.92 IPS
 
Object Detection (F32)
100% 120
8.99 IPS
 
Object Detection (F16)
100% 120
8.98 IPS
 
Object Detection (I8)
61% 296
22.1 IPS
 
Face Detection (F32)
100% 285
3.39 IPS
 
Face Detection (F16)
100% 285
3.39 IPS
 
Face Detection (I8)
86% 593
7.05 IPS
 
Depth Estimation (F32)
100% 242
1.87 IPS
 
Depth Estimation (F16)
100% 241
1.87 IPS
 
Depth Estimation (I8)
95% 649
5.03 IPS
 
Style Transfer (F32)
100% 396
0.52 IPS
 
Style Transfer (F16)
100% 396
0.52 IPS
 
Style Transfer (I8)
98% 1192
1.57 IPS
 
Image Super-Resolution (F32)
100% 125
4.45 IPS
 
Image Super-Resolution (F16)
100% 125
4.47 IPS
 
Image Super-Resolution (I8)
98% 458
16.4 IPS
 
Text Classification (F32)
100% 155
222.9 IPS
 
Text Classification (F16)
100% 155
223.2 IPS
 
Text Classification (I8)
92% 255
366.3 IPS
 
Machine Translation (F32)
100% 278
5.12 IPS
 
Machine Translation (F16)
100% 281
5.17 IPS
 
Machine Translation (I8)
64% 271
4.99 IPS
 

Compare

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