Geekbench ML Score

694
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date June 12 2025 02:32 AM
Views 5

System Information

System Information
Operating System iOS 18.5
Model iPhone 13 Pro
Model IDiPhone14,2
Motherboard D63AP
CPU Information
Name Apple A15 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 3.23 GHz
L1 Instruction Cache128 KB x 1
L1 Data Cache64.0 KB x 1
L2 Cache4.00 MB x 1
Memory Information
Size 5.54 GB
Inference Information
Framework TensorFlow Lite
Backend CPU
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 519
55.6 IPS
 
Image Classification (F16)
100% 522
55.9 IPS
 
Image Classification (I8)
81% 686
73.5 IPS
 
Image Segmentation (F32)
100% 613
3.79 IPS
 
Image Segmentation (F16)
100% 615
3.80 IPS
 
Image Segmentation (I8)
89% 1268
7.83 IPS
 
Pose Estimation (F32)
100% 233
0.94 IPS
 
Pose Estimation (F16)
100% 287
1.16 IPS
 
Pose Estimation (I8)
80% 364
1.47 IPS
 
Object Detection (F32)
100% 766
26.9 IPS
 
Object Detection (F16)
100% 767
26.9 IPS
 
Object Detection (I8)
52% 769
27.0 IPS
 
Face Detection (F32)
100% 867
9.96 IPS
 
Face Detection (F16)
100% 932
10.7 IPS
 
Face Detection (I8)
75% 1063
12.2 IPS
 
Text Classification (F32)
100% 1214
480.2 IPS
 
Text Classification (F16)
100% 1039
410.9 IPS
 
Machine Translation (F32)
100% 967
149.0 IPS
 
Machine Translation (F16)
100% 964
148.5 IPS
 

Compare

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