Geekbench ML Score

590
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date March 02 2025 01:40 PM
Views 4

System Information

System Information
Operating System iOS 16.7.10
Model iPhone X
Model IDiPhone10,3
Motherboard D22AP
CPU Information
Name Apple A11 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 2.39 GHz
Cluster 12 Cores
Cluster 24 Cores
L1 Instruction Cache48.0 KB x 1
L1 Data Cache32.0 KB x 1
L2 Cache8.00 MB x 1
Memory Information
Size 2.76 GB
Inference Information
Framework Core ML
Backend Neural Engine
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 198
37.1 IPS
 
Image Classification (F16)
100% 145
27.2 IPS
 
Image Classification (I8)
99% 146
27.3 IPS
 
Image Segmentation (F32)
100% 187
3.12 IPS
 
Image Segmentation (F16)
100% 199
3.33 IPS
 
Image Segmentation (I8)
100% 199
3.32 IPS
 
Pose Estimation (F32)
100% 1745
2.11 IPS
 
Pose Estimation (F16)
100% 1984
2.40 IPS
 
Pose Estimation (I8)
100% 2027
2.45 IPS
 
Object Detection (F32)
100% 280
20.9 IPS
 
Object Detection (F16)
100% 241
18.0 IPS
 
Object Detection (I8)
97% 337
25.2 IPS
 
Face Detection (F32)
100% 917
10.9 IPS
 
Face Detection (F16)
100% 977
11.6 IPS
 
Face Detection (I8)
99% 979
11.6 IPS
 
Depth Estimation (F32)
100% 2149
16.7 IPS
 
Depth Estimation (F16)
100% 2587
20.1 IPS
 
Depth Estimation (I8)
99% 2736
21.2 IPS
 
Style Transfer (F32)
100% 4397
5.78 IPS
 
Style Transfer (F16)
100% 4564
6.00 IPS
 
Style Transfer (I8)
100% 4377
5.76 IPS
 
Image Super-Resolution (F32)
100% 1037
37.0 IPS
 
Image Super-Resolution (F16)
100% 962
34.3 IPS
 
Image Super-Resolution (I8)
100% 1041
37.2 IPS
 
Text Classification (F32)
100% 52
74.3 IPS
 
Text Classification (F16)
100% 201
289.2 IPS
 
Text Classification (I8)
96% 200
287.9 IPS
 
Machine Translation (F32)
100% 269
4.94 IPS
 
Machine Translation (F16)
100% 185
3.40 IPS
 
Machine Translation (I8)
99% 218
4.01 IPS
 

Compare

Set Baseline Geekbench 6 now available