Geekbench ML Score

1904
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date September 25 2024 02:36 PM
Views 1

System Information

System Information
Operating System iOS 16.3.1
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 5.56 GB
Inference Information
Framework Core ML
Backend CPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 949
177.5 IPS
 
Image Classification (F16)
100% 916
171.4 IPS
 
Image Classification (I8)
99% 910
170.3 IPS
 
Image Segmentation (F32)
100% 611
10.2 IPS
 
Image Segmentation (F16)
100% 562
9.38 IPS
 
Image Segmentation (I8)
100% 538
8.98 IPS
 
Pose Estimation (F32)
100% 5331
6.46 IPS
 
Pose Estimation (F16)
100% 9597
11.6 IPS
 
Pose Estimation (I8)
100% 9519
11.5 IPS
 
Object Detection (F32)
100% 1009
75.3 IPS
 
Object Detection (F16)
100% 1026
76.6 IPS
 
Object Detection (I8)
97% 1038
77.5 IPS
 
Face Detection (F32)
100% 1706
20.3 IPS
 
Face Detection (F16)
100% 1553
18.5 IPS
 
Face Detection (I8)
99% 1524
18.1 IPS
 
Depth Estimation (F32)
100% 3213
24.9 IPS
 
Depth Estimation (F16)
99% 3656
28.3 IPS
 
Depth Estimation (I8)
99% 3505
27.2 IPS
 
Style Transfer (F32)
100% 9841
12.9 IPS
 
Style Transfer (F16)
100% 11560
15.2 IPS
 
Style Transfer (I8)
100% 11706
15.4 IPS
 
Image Super-Resolution (F32)
100% 2359
84.2 IPS
 
Image Super-Resolution (F16)
100% 2552
91.2 IPS
 
Image Super-Resolution (I8)
100% 2548
91.0 IPS
 
Text Classification (F32)
100% 1002
1.44 KIPS
 
Text Classification (F16)
100% 466
669.6 IPS
 
Text Classification (I8)
96% 642
923.1 IPS
 
Machine Translation (F32)
100% 1350
24.8 IPS
 
Machine Translation (F16)
99% 1748
32.2 IPS
 
Machine Translation (I8)
99% 1340
24.7 IPS
 

Compare

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