Geekbench ML Score

293
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date March 12 2025 06:44 AM
Views 4

System Information

System Information
Operating System iOS 15.8.3
Model iPhone SE
Model IDiPhone8,4
Motherboard N69uAP
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% 198
21.2 IPS
 
Image Classification (F16)
100% 191
20.5 IPS
 
Image Classification (I8)
81% 335
35.9 IPS
 
Image Segmentation (F32)
100% 379
2.34 IPS
 
Image Segmentation (F16)
100% 355
2.19 IPS
 
Image Segmentation (I8)
89% 508
3.14 IPS
 
Pose Estimation (F32)
100% 95
0.38 IPS
 
Pose Estimation (F16)
100% 112
0.46 IPS
 
Pose Estimation (I8)
80% 108
0.44 IPS
 
Object Detection (F32)
100% 314
11.0 IPS
 
Object Detection (F16)
100% 326
11.4 IPS
 
Object Detection (I8)
52% 412
14.4 IPS
 
Face Detection (F32)
100% 385
4.43 IPS
 
Face Detection (F16)
100% 385
4.42 IPS
 
Face Detection (I8)
75% 415
4.76 IPS
 
Text Classification (F32)
100% 416
164.4 IPS
 
Text Classification (F16)
100% 416
164.4 IPS
 
Machine Translation (F32)
100% 390
60.1 IPS
 
Machine Translation (F16)
100% 435
67.1 IPS
 

Compare

Set Baseline Geekbench 6 now available