Geekbench ML Score

2397
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date May 18 2024 08:53 AM
Views 1

System Information

System Information
Operating System iOS 17.5
Model iPhone 15
Model IDiPhone15,4
Motherboard D37AP
CPU Information
Name Apple A16 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 3.46 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 5.53 GB
Inference Information
Framework Core ML
Backend GPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 721
135.0 IPS
 
Image Classification (F16)
100% 880
164.7 IPS
 
Image Classification (I8)
99% 1044
195.4 IPS
 
Image Segmentation (F32)
100% 1331
22.2 IPS
 
Image Segmentation (F16)
100% 1302
21.7 IPS
 
Image Segmentation (I8)
100% 1323
22.1 IPS
 
Pose Estimation (F32)
100% 11469
13.9 IPS
 
Pose Estimation (F16)
100% 12140
14.7 IPS
 
Pose Estimation (I8)
100% 11959
14.5 IPS
 
Object Detection (F32)
100% 1260
94.0 IPS
 
Object Detection (F16)
100% 1188
88.7 IPS
 
Object Detection (I8)
97% 786
58.7 IPS
 
Face Detection (F32)
100% 3924
46.7 IPS
 
Face Detection (F16)
98% 4093
48.7 IPS
 
Face Detection (I8)
97% 5434
64.6 IPS
 
Depth Estimation (F32)
100% 8327
64.6 IPS
 
Depth Estimation (F16)
100% 8698
67.5 IPS
 
Depth Estimation (I8)
37% 8474
65.7 IPS
 
Style Transfer (F32)
100% 21382
28.1 IPS
 
Style Transfer (F16)
100% 23921
31.5 IPS
 
Style Transfer (I8)
100% 23727
31.2 IPS
 
Image Super-Resolution (F32)
100% 2741
97.9 IPS
 
Image Super-Resolution (F16)
100% 3592
128.3 IPS
 
Image Super-Resolution (I8)
100% 3519
125.7 IPS
 
Text Classification (F32)
100% 365
525.2 IPS
 
Text Classification (F16)
100% 358
514.7 IPS
 
Text Classification (I8)
96% 226
325.4 IPS
 
Machine Translation (F32)
100% 495
9.11 IPS
 
Machine Translation (F16)
100% 502
9.25 IPS
 
Machine Translation (I8)
99% 501
9.23 IPS
 

Compare

Set Baseline Geekbench 6 now available