Geekbench ML Score

3851
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date May 18 2024 08:50 AM
Views 1

System Information

System Information
Operating System iOS 17.5
Model iPhone 15 Pro Max
Model IDiPhone16,2
Motherboard D84AP
CPU Information
Name Apple A17 Pro
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 3.78 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 7.44 GB
Inference Information
Framework Core ML
Backend CPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 1613
301.9 IPS
 
Image Classification (F16)
100% 2103
393.5 IPS
 
Image Classification (I8)
99% 2113
395.3 IPS
 
Image Segmentation (F32)
100% 835
14.0 IPS
 
Image Segmentation (F16)
100% 803
13.4 IPS
 
Image Segmentation (I8)
100% 814
13.6 IPS
 
Pose Estimation (F32)
100% 6884
8.34 IPS
 
Pose Estimation (F16)
100% 14889
18.0 IPS
 
Pose Estimation (I8)
100% 14968
18.1 IPS
 
Object Detection (F32)
100% 1580
118.0 IPS
 
Object Detection (F16)
100% 2223
166.0 IPS
 
Object Detection (I8)
97% 1571
117.3 IPS
 
Face Detection (F32)
100% 2729
32.4 IPS
 
Face Detection (F16)
97% 4547
54.1 IPS
 
Face Detection (I8)
97% 4512
53.6 IPS
 
Depth Estimation (F32)
100% 5901
45.8 IPS
 
Depth Estimation (F16)
100% 9206
71.4 IPS
 
Depth Estimation (I8)
99% 9266
71.9 IPS
 
Style Transfer (F32)
100% 18986
25.0 IPS
 
Style Transfer (F16)
100% 29213
38.4 IPS
 
Style Transfer (I8)
100% 29062
38.2 IPS
 
Image Super-Resolution (F32)
100% 4893
174.8 IPS
 
Image Super-Resolution (F16)
100% 5939
212.1 IPS
 
Image Super-Resolution (I8)
100% 6184
220.9 IPS
 
Text Classification (F32)
100% 2927
4.21 KIPS
 
Text Classification (F16)
100% 4809
6.91 KIPS
 
Text Classification (I8)
96% 4818
6.92 KIPS
 
Machine Translation (F32)
100% 1183
21.8 IPS
 
Machine Translation (F16)
100% 1476
27.2 IPS
 
Machine Translation (I8)
99% 1157
21.3 IPS
 

Compare

Set Baseline Geekbench 6 now available