Geekbench ML Score

4859
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date May 18 2024 09:46 AM
Views 3

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 Neural Engine
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 683
127.8 IPS
 
Image Classification (F16)
100% 4935
923.5 IPS
 
Image Classification (I8)
99% 5794
1.08 KIPS
 
Image Segmentation (F32)
100% 1298
21.7 IPS
 
Image Segmentation (F16)
100% 1694
28.3 IPS
 
Image Segmentation (I8)
100% 1710
28.6 IPS
 
Pose Estimation (F32)
100% 10828
13.1 IPS
 
Pose Estimation (F16)
100% 76196
92.3 IPS
 
Pose Estimation (I8)
100% 76957
93.2 IPS
 
Object Detection (F32)
100% 1269
94.7 IPS
 
Object Detection (F16)
100% 3537
264.1 IPS
 
Object Detection (I8)
97% 1100
82.1 IPS
 
Face Detection (F32)
100% 3510
41.7 IPS
 
Face Detection (F16)
97% 9749
115.9 IPS
 
Face Detection (I8)
96% 9830
116.9 IPS
 
Depth Estimation (F32)
100% 8838
68.5 IPS
 
Depth Estimation (F16)
100% 37490
290.7 IPS
 
Depth Estimation (I8)
37% 30203
234.2 IPS
 
Style Transfer (F32)
100% 18998
25.0 IPS
 
Style Transfer (F16)
100% 103253
135.8 IPS
 
Style Transfer (I8)
100% 97825
128.7 IPS
 
Image Super-Resolution (F32)
100% 3639
129.9 IPS
 
Image Super-Resolution (F16)
100% 13963
498.7 IPS
 
Image Super-Resolution (I8)
100% 14999
535.7 IPS
 
Text Classification (F32)
100% 368
529.3 IPS
 
Text Classification (F16)
100% 862
1.24 KIPS
 
Text Classification (I8)
96% 378
542.6 IPS
 
Machine Translation (F32)
100% 473
8.71 IPS
 
Machine Translation (F16)
100% 1232
22.7 IPS
 
Machine Translation (I8)
99% 500
9.21 IPS
 

Compare

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