Geekbench ML Score

745
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

User Alex1974
Upload Date June 11 2024 07:42 PM
Views 4

System Information

System Information
Operating System iOS 18.0
Model iPhone XS
Model IDiPhone11,2
Motherboard D321AP
CPU Information
Name Apple A12 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 2.49 GHz
Cluster 12 Cores
Cluster 24 Cores
L1 Instruction Cache48.0 KB x 1
L1 Data Cache32.0 KB x 1
L2 Cache2.00 MB x 1
Memory Information
Size 3.69 GB
Inference Information
Framework Core ML
Backend CPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 379
70.9 IPS
 
Image Classification (F16)
100% 660
123.4 IPS
 
Image Classification (I8)
99% 653
122.3 IPS
 
Image Segmentation (F32)
100% 249
4.15 IPS
 
Image Segmentation (F16)
100% 364
6.08 IPS
 
Image Segmentation (I8)
100% 364
6.08 IPS
 
Pose Estimation (F32)
100% 792
0.96 IPS
 
Pose Estimation (F16)
100% 619
0.75 IPS
 
Pose Estimation (I8)
100% 883
1.07 IPS
 
Object Detection (F32)
100% 374
27.9 IPS
 
Object Detection (F16)
100% 690
51.5 IPS
 
Object Detection (I8)
97% 374
27.9 IPS
 
Face Detection (F32)
100% 846
10.1 IPS
 
Face Detection (F16)
97% 1745
20.8 IPS
 
Face Detection (I8)
96% 1747
20.8 IPS
 
Depth Estimation (F32)
100% 972
7.53 IPS
 
Depth Estimation (F16)
100% 1719
13.3 IPS
 
Depth Estimation (I8)
99% 1764
13.7 IPS
 
Style Transfer (F32)
100% 2265
2.98 IPS
 
Style Transfer (F16)
100% 4083
5.37 IPS
 
Style Transfer (I8)
100% 3970
5.22 IPS
 
Image Super-Resolution (F32)
100% 744
26.6 IPS
 
Image Super-Resolution (F16)
100% 917
32.7 IPS
 
Image Super-Resolution (I8)
100% 910
32.5 IPS
 
Text Classification (F32)
100% 267
383.6 IPS
 
Text Classification (F16)
100% 520
747.3 IPS
 
Text Classification (I8)
96% 521
748.2 IPS
 
Machine Translation (F32)
100% 372
6.85 IPS
 
Machine Translation (F16)
100% 481
8.84 IPS
 
Machine Translation (I8)
99% 295
5.43 IPS
 

Compare

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