Geekbench ML Score

326
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date March 20 2025 12:40 PM
Views 5

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 CPU
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 210
22.5 IPS
 
Image Classification (F16)
100% 207
22.2 IPS
 
Image Classification (I8)
81% 342
36.7 IPS
 
Image Segmentation (F32)
100% 398
2.46 IPS
 
Image Segmentation (F16)
100% 398
2.46 IPS
 
Image Segmentation (I8)
89% 642
3.97 IPS
 
Pose Estimation (F32)
100% 127
0.51 IPS
 
Pose Estimation (F16)
100% 127
0.51 IPS
 
Pose Estimation (I8)
80% 119
0.48 IPS
 
Object Detection (F32)
100% 358
12.6 IPS
 
Object Detection (F16)
100% 359
12.6 IPS
 
Object Detection (I8)
52% 480
16.9 IPS
 
Face Detection (F32)
100% 432
4.97 IPS
 
Face Detection (F16)
100% 405
4.65 IPS
 
Face Detection (I8)
75% 447
5.14 IPS
 
Text Classification (F32)
100% 473
187.1 IPS
 
Text Classification (F16)
100% 472
186.8 IPS
 
Machine Translation (F32)
100% 422
65.0 IPS
 
Machine Translation (F16)
100% 449
69.2 IPS
 

Compare

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