Geekbench ML Score

3347
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date May 18 2024 09:37 AM
Views 1

System Information

System Information
Operating System iOS 17.5
Model iPhone 14
Model IDiPhone14,7
Motherboard D27AP
CPU Information
Name Apple A15 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 3.23 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 5.54 GB
Inference Information
Framework Core ML
Backend CPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 1405
262.8 IPS
 
Image Classification (F16)
100% 1755
328.4 IPS
 
Image Classification (I8)
99% 1754
328.3 IPS
 
Image Segmentation (F32)
100% 831
13.9 IPS
 
Image Segmentation (F16)
100% 827
13.8 IPS
 
Image Segmentation (I8)
100% 822
13.7 IPS
 
Pose Estimation (F32)
100% 5753
6.97 IPS
 
Pose Estimation (F16)
100% 13480
16.3 IPS
 
Pose Estimation (I8)
100% 13506
16.4 IPS
 
Object Detection (F32)
100% 1380
103.0 IPS
 
Object Detection (F16)
100% 1865
139.2 IPS
 
Object Detection (I8)
97% 1380
103.0 IPS
 
Face Detection (F32)
100% 2484
29.5 IPS
 
Face Detection (F16)
97% 3987
47.4 IPS
 
Face Detection (I8)
97% 3988
47.4 IPS
 
Depth Estimation (F32)
100% 5048
39.2 IPS
 
Depth Estimation (F16)
100% 8215
63.7 IPS
 
Depth Estimation (I8)
99% 8158
63.3 IPS
 
Style Transfer (F32)
100% 16323
21.5 IPS
 
Style Transfer (F16)
100% 25208
33.2 IPS
 
Style Transfer (I8)
100% 25105
33.0 IPS
 
Image Super-Resolution (F32)
100% 3798
135.6 IPS
 
Image Super-Resolution (F16)
100% 4856
173.4 IPS
 
Image Super-Resolution (I8)
100% 4942
176.5 IPS
 
Text Classification (F32)
100% 2189
3.15 KIPS
 
Text Classification (F16)
100% 3521
5.06 KIPS
 
Text Classification (I8)
96% 3517
5.05 KIPS
 
Machine Translation (F32)
100% 1149
21.1 IPS
 
Machine Translation (F16)
100% 1397
25.7 IPS
 
Machine Translation (I8)
99% 1104
20.3 IPS
 

Compare

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