Geekbench ML Score

325
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date May 07 2025 07:33 PM
Views 1

System Information

System Information
Operating System iOS 15.8.4
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% 198
21.2 IPS
 
Image Classification (F16)
100% 200
21.4 IPS
 
Image Classification (I8)
81% 315
33.8 IPS
 
Image Segmentation (F32)
100% 356
2.20 IPS
 
Image Segmentation (F16)
100% 390
2.41 IPS
 
Image Segmentation (I8)
89% 637
3.94 IPS
 
Pose Estimation (F32)
100% 118
0.48 IPS
 
Pose Estimation (F16)
100% 126
0.51 IPS
 
Pose Estimation (I8)
80% 120
0.48 IPS
 
Object Detection (F32)
100% 355
12.5 IPS
 
Object Detection (F16)
100% 357
12.5 IPS
 
Object Detection (I8)
52% 480
16.8 IPS
 
Face Detection (F32)
100% 431
4.95 IPS
 
Face Detection (F16)
100% 432
4.96 IPS
 
Face Detection (I8)
75% 484
5.56 IPS
 
Text Classification (F32)
100% 499
197.5 IPS
 
Text Classification (F16)
100% 505
199.6 IPS
 
Machine Translation (F32)
100% 449
69.3 IPS
 
Machine Translation (F16)
100% 445
68.6 IPS
 

Compare

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