Geekbench ML Score

245
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date March 15 2025 08:38 PM
Views 6

System Information

System Information
Operating System iOS 15.8.3
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
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 249
26.7 IPS
 
Image Classification (F16)
100% 246
26.4 IPS
 
Image Classification (I8)
81% 138
14.8 IPS
 
Image Segmentation (F32)
100% 402
2.48 IPS
 
Image Segmentation (F16)
100% 383
2.36 IPS
 
Image Segmentation (I8)
89% 247
1.53 IPS
 
Pose Estimation (F32)
100% 310
1.25 IPS
 
Pose Estimation (F16)
100% 309
1.25 IPS
 
Pose Estimation (I8)
80% 44
0.18 IPS
 
Object Detection (F32)
100% 527
18.5 IPS
 
Object Detection (F16)
100% 461
16.2 IPS
 
Object Detection (I8)
52% 179
6.27 IPS
 
Face Detection (F32)
100% 692
7.95 IPS
 
Face Detection (F16)
100% 621
7.13 IPS
 
Face Detection (I8)
75% 177
2.03 IPS
 
Text Classification (F32)
98% 74
29.2 IPS
 
Text Classification (F16)
98% 69
27.1 IPS
 
Machine Translation (F32)
100% 317
48.9 IPS
 
Machine Translation (F16)
100% 343
52.8 IPS
 

Compare

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