Geekbench ML Score

318
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date October 22 2024 02:59 AM
Views 1

System Information

System Information
Operating System iOS 15.8.3
Model iPhone 7
Model IDiPhone9,1
Motherboard D10AP
CPU Information
Name Apple A10 Fusion
Topology 1 Processor, 2 Cores
Identifier ARM
Base Frequency 2.34 GHz
L1 Instruction Cache64.0 KB x 1
L1 Data Cache64.0 KB x 1
L2 Cache3.00 MB x 1
Memory Information
Size 1.95 GB
Inference Information
Framework TensorFlow Lite
Backend Core ML
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 280
30.0 IPS
 
Image Classification (F16)
100% 254
27.2 IPS
 
Image Classification (I8)
81% 294
31.5 IPS
 
Image Segmentation (F32)
100% 594
3.67 IPS
 
Image Segmentation (F16)
100% 574
3.55 IPS
 
Image Segmentation (I8)
89% 414
2.56 IPS
 
Pose Estimation (F32)
100% 437
1.77 IPS
 
Pose Estimation (F16)
100% 439
1.77 IPS
 
Pose Estimation (I8)
80% 72
0.29 IPS
 
Object Detection (F32)
100% 425
14.9 IPS
 
Object Detection (F16)
100% 586
20.6 IPS
 
Object Detection (I8)
52% 208
7.31 IPS
 
Face Detection (F32)
100% 783
8.99 IPS
 
Face Detection (F16)
100% 813
9.34 IPS
 
Face Detection (I8)
75% 201
2.31 IPS
 
Text Classification (F32)
98% 112
44.2 IPS
 
Text Classification (F16)
98% 111
44.1 IPS
 
Machine Translation (F32)
100% 326
50.2 IPS
 
Machine Translation (F16)
100% 328
50.6 IPS
 

Compare

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