Geekbench ML Score

268
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date January 25 2023 09:56 AM
Views 1

System Information

System Information
Operating System iOS 15.7.2
Model iPhone SE
Model IDiPhone8,4
Motherboard N69AP
CPU Information
Name Apple A9
Topology 1 Processor, 2 Cores
Identifier ARM
Base Frequency 1.80 GHz
L1 Instruction Cache64.0 KB x 1
L1 Data Cache64.0 KB x 1
L2 Cache3.00 MB x 1
Memory Information
Size 1.97 GB
Inference Information
Framework TensorFlow Lite
Backend Core ML

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 249
26.6 IPS
 
Image Classification (F16)
100% 248
26.6 IPS
 
Image Classification (I8)
81% 183
19.6 IPS
 
Image Segmentation (F32)
100% 459
2.84 IPS
 
Image Segmentation (F16)
100% 460
2.84 IPS
 
Image Segmentation (I8)
89% 361
2.23 IPS
 
Pose Estimation (F32)
100% 233
0.94 IPS
 
Pose Estimation (F16)
100% 232
0.94 IPS
 
Pose Estimation (I8)
80% 66
0.27 IPS
 
Object Detection (F32)
100% 403
14.1 IPS
 
Object Detection (F16)
100% 440
15.4 IPS
 
Object Detection (I8)
52% 264
9.25 IPS
 
Face Detection (F32)
100% 598
6.87 IPS
 
Face Detection (F16)
100% 571
6.56 IPS
 
Face Detection (I8)
75% 265
3.05 IPS
 
Text Classification (F32)
98% 70
27.6 IPS
 
Text Classification (F16)
98% 74
29.5 IPS
 
Machine Translation (F32)
100% 451
69.5 IPS
 
Machine Translation (F16)
100% 454
70.0 IPS
 

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