Geekbench ML Score

318
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date January 21 2025 08:20 PM
Views 3

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% 205
22.0 IPS
 
Image Classification (F16)
100% 206
22.1 IPS
 
Image Classification (I8)
81% 349
37.3 IPS
 
Image Segmentation (F32)
100% 398
2.46 IPS
 
Image Segmentation (F16)
100% 399
2.47 IPS
 
Image Segmentation (I8)
89% 654
4.04 IPS
 
Pose Estimation (F32)
100% 117
0.47 IPS
 
Pose Estimation (F16)
100% 115
0.46 IPS
 
Pose Estimation (I8)
80% 125
0.50 IPS
 
Object Detection (F32)
100% 334
11.7 IPS
 
Object Detection (F16)
100% 357
12.5 IPS
 
Object Detection (I8)
52% 481
16.9 IPS
 
Face Detection (F32)
100% 418
4.81 IPS
 
Face Detection (F16)
100% 401
4.61 IPS
 
Face Detection (I8)
75% 448
5.14 IPS
 
Text Classification (F32)
100% 427
169.0 IPS
 
Text Classification (F16)
100% 454
179.6 IPS
 
Machine Translation (F32)
100% 394
60.7 IPS
 
Machine Translation (F16)
100% 435
67.0 IPS
 

Compare

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