Geekbench ML Score

504
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64

Result Information

Upload Date July 10 2024 08:20 PM
Views 1

System Information

System Information
Operating System Android 14
Model OnePlus CPH2487
Model IDOnePlus CPH2487
Motherboard taro
Governorwalt
CPU Information
Name ARM ARMv8
Topology 1 Processor, 8 Cores
Identifier ARM implementer 65 architecture 8 variant 2 part 3400 revision 0
Base Frequency 1.80 GHz
Cluster 14 Cores @ 1.80 GHz
Cluster 23 Cores @ 2.50 GHz
Cluster 31 Core @ 3.00 GHz
Memory Information
Size 7.06 GB
Inference Information
Framework TensorFlow Lite
Backend CPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 238
44.5 IPS
 
Image Classification (F16)
100% 173
32.4 IPS
 
Image Classification (I8)
97% 301
56.4 IPS
 
Image Segmentation (F32)
100% 301
5.02 IPS
 
Image Segmentation (F16)
100% 285
4.76 IPS
 
Image Segmentation (I8)
98% 445
7.44 IPS
 
Pose Estimation (F32)
100% 616
0.75 IPS
 
Pose Estimation (F16)
100% 612
0.74 IPS
 
Pose Estimation (I8)
100% 2109
2.55 IPS
 
Object Detection (F32)
100% 276
20.6 IPS
 
Object Detection (F16)
100% 294
22.0 IPS
 
Object Detection (I8)
61% 408
30.5 IPS
 
Face Detection (F32)
100% 555
6.60 IPS
 
Face Detection (F16)
100% 588
6.99 IPS
 
Face Detection (I8)
86% 1080
12.8 IPS
 
Depth Estimation (F32)
100% 590
4.57 IPS
 
Depth Estimation (F16)
100% 559
4.33 IPS
 
Depth Estimation (I8)
95% 1288
9.99 IPS
 
Style Transfer (F32)
100% 1222
1.61 IPS
 
Style Transfer (F16)
100% 1209
1.59 IPS
 
Style Transfer (I8)
98% 2558
3.36 IPS
 
Image Super-Resolution (F32)
100% 432
15.4 IPS
 
Image Super-Resolution (F16)
100% 419
14.9 IPS
 
Image Super-Resolution (I8)
98% 1100
39.3 IPS
 
Text Classification (F32)
100% 329
472.5 IPS
 
Text Classification (F16)
100% 174
249.7 IPS
 
Text Classification (I8)
92% 144
206.4 IPS
 
Machine Translation (F32)
100% 594
10.9 IPS
 
Machine Translation (F16)
100% 556
10.2 IPS
 
Machine Translation (I8)
64% 325
5.98 IPS
 

Compare

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