Geekbench ML Score

3248
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date May 26 2024 04:37 PM
Views 1

System Information

System Information
Operating System iOS 17.5.1
Model iPhone 13 Pro Max
Model IDiPhone14,3
Motherboard D64AP
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 5.47 GB
Inference Information
Framework Core ML
Backend CPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 1397
261.4 IPS
 
Image Classification (F16)
100% 1744
326.4 IPS
 
Image Classification (I8)
99% 1743
326.2 IPS
 
Image Segmentation (F32)
100% 779
13.0 IPS
 
Image Segmentation (F16)
100% 753
12.6 IPS
 
Image Segmentation (I8)
100% 751
12.5 IPS
 
Pose Estimation (F32)
100% 5649
6.84 IPS
 
Pose Estimation (F16)
100% 13264
16.1 IPS
 
Pose Estimation (I8)
100% 13274
16.1 IPS
 
Object Detection (F32)
100% 1354
101.1 IPS
 
Object Detection (F16)
100% 1849
138.0 IPS
 
Object Detection (I8)
97% 1350
100.8 IPS
 
Face Detection (F32)
100% 2352
28.0 IPS
 
Face Detection (F16)
97% 3934
46.8 IPS
 
Face Detection (I8)
97% 3902
46.4 IPS
 
Depth Estimation (F32)
100% 4992
38.7 IPS
 
Depth Estimation (F16)
100% 8051
62.4 IPS
 
Depth Estimation (I8)
99% 8012
62.1 IPS
 
Style Transfer (F32)
100% 16166
21.3 IPS
 
Style Transfer (F16)
100% 25050
33.0 IPS
 
Style Transfer (I8)
100% 25030
32.9 IPS
 
Image Super-Resolution (F32)
100% 3786
135.2 IPS
 
Image Super-Resolution (F16)
100% 4851
173.2 IPS
 
Image Super-Resolution (I8)
100% 4827
172.4 IPS
 
Text Classification (F32)
100% 2164
3.11 KIPS
 
Text Classification (F16)
100% 3069
4.41 KIPS
 
Text Classification (I8)
96% 3066
4.41 KIPS
 
Machine Translation (F32)
100% 1122
20.7 IPS
 
Machine Translation (F16)
100% 1369
25.2 IPS
 
Machine Translation (I8)
99% 1089
20.0 IPS
 

Compare

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