Geekbench ML Score

2620
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date May 18 2024 09:09 AM
Views 2

System Information

System Information
Operating System iOS 17.4.1
Model iPhone 12
Model IDiPhone13,2
Motherboard D53gAP
CPU Information
Name Apple A14 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 2.99 GHz
Cluster 12 Cores
Cluster 24 Cores
L1 Instruction Cache128 KB x 1
L1 Data Cache64.0 KB x 1
L2 Cache4.00 MB x 1
Memory Information
Size 3.56 GB
Inference Information
Framework Core ML
Backend CPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 1140
213.3 IPS
 
Image Classification (F16)
100% 1467
274.5 IPS
 
Image Classification (I8)
99% 1466
274.4 IPS
 
Image Segmentation (F32)
100% 537
8.98 IPS
 
Image Segmentation (F16)
100% 519
8.67 IPS
 
Image Segmentation (I8)
100% 522
8.72 IPS
 
Pose Estimation (F32)
100% 4878
5.91 IPS
 
Pose Estimation (F16)
100% 10667
12.9 IPS
 
Pose Estimation (I8)
100% 10761
13.0 IPS
 
Object Detection (F32)
100% 1117
83.4 IPS
 
Object Detection (F16)
100% 1522
113.6 IPS
 
Object Detection (I8)
97% 1118
83.5 IPS
 
Face Detection (F32)
100% 1929
22.9 IPS
 
Face Detection (F16)
97% 3449
41.0 IPS
 
Face Detection (I8)
97% 3418
40.6 IPS
 
Depth Estimation (F32)
100% 4498
34.9 IPS
 
Depth Estimation (F16)
100% 7126
55.3 IPS
 
Depth Estimation (I8)
99% 7114
55.2 IPS
 
Style Transfer (F32)
100% 13164
17.3 IPS
 
Style Transfer (F16)
100% 21367
28.1 IPS
 
Style Transfer (I8)
100% 21593
28.4 IPS
 
Image Super-Resolution (F32)
100% 3017
107.8 IPS
 
Image Super-Resolution (F16)
100% 4149
148.2 IPS
 
Image Super-Resolution (I8)
100% 4122
147.2 IPS
 
Text Classification (F32)
100% 1940
2.79 KIPS
 
Text Classification (F16)
100% 3064
4.40 KIPS
 
Text Classification (I8)
96% 3044
4.37 KIPS
 
Machine Translation (F32)
100% 645
11.9 IPS
 
Machine Translation (F16)
100% 775
14.3 IPS
 
Machine Translation (I8)
99% 641
11.8 IPS
 

Compare

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