Geekbench ML Score

451
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64

Result Information

Upload Date April 13 2024 08:37 AM
Views 1

System Information

System Information
Operating System Android 13
Model Realme GT Neo
Model IDrealme RMX3031
Motherboard RM6893
CPU Information
Name ARM MT6893Z/CZA
Topology 1 Processor, 8 Cores
Identifier ARM implementer 65 architecture 8 variant 1 part 3393 revision 0
Base Frequency 2.00 GHz
Cluster 14 Cores @ 2.00 GHz
Cluster 23 Cores @ 2.60 GHz
Cluster 31 Core @ 3.00 GHz
Memory Information
Size 7.32 GB
Inference Information
Framework TensorFlow Lite
Backend GPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 211
39.4 IPS
 
Image Classification (F16)
100% 245
45.9 IPS
 
Image Classification (I8)
97% 255
47.8 IPS
 
Image Segmentation (F32)
100% 454
7.58 IPS
 
Image Segmentation (F16)
100% 698
11.7 IPS
 
Image Segmentation (I8)
98% 645
10.8 IPS
 
Pose Estimation (F32)
100% 270
0.33 IPS
 
Pose Estimation (F16)
100% 329
0.40 IPS
 
Pose Estimation (I8)
100% 328
0.40 IPS
 
Object Detection (F32)
100% 239
17.8 IPS
 
Object Detection (F16)
100% 344
25.7 IPS
 
Object Detection (I8)
62% 348
26.0 IPS
 
Face Detection (F32)
100% 876
10.4 IPS
 
Face Detection (F16)
98% 1442
17.1 IPS
 
Face Detection (I8)
86% 1215
14.4 IPS
 
Depth Estimation (F32)
100% 518
4.02 IPS
 
Depth Estimation (F16)
100% 692
5.36 IPS
 
Depth Estimation (I8)
95% 690
5.35 IPS
 
Style Transfer (F32)
100% 1146
1.51 IPS
 
Style Transfer (F16)
100% 1759
2.31 IPS
 
Style Transfer (I8)
98% 1764
2.32 IPS
 
Image Super-Resolution (F32)
100% 325
11.6 IPS
 
Image Super-Resolution (F16)
100% 480
17.2 IPS
 
Image Super-Resolution (I8)
98% 490
17.5 IPS
 
Text Classification (F32)
100% 159
228.6 IPS
 
Text Classification (F16)
100% 142
204.0 IPS
 
Text Classification (I8)
92% 298
427.7 IPS
 
Machine Translation (F32)
100% 280
5.16 IPS
 
Machine Translation (F16)
100% 281
5.17 IPS
 
Machine Translation (I8)
64% 366
6.73 IPS
 

Compare

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