Geekbench ML Score

231
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date April 17 2025 02:47 PM
Views 1

System Information

System Information
Operating System iOS 16.7.10
Model iPad (5th generation)
Model IDiPad6,11
Motherboard J71tAP
CPU Information
Name Apple A9
Topology 1 Processor, 2 Cores
Identifier ARM
Base Frequency 1.80 GHz
Cluster 12 Cores
L1 Instruction Cache64.0 KB x 1
L1 Data Cache64.0 KB x 1
L2 Cache3.00 MB x 1
Memory Information
Size 1.93 GB
Inference Information
Framework Core ML
Backend CPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 135
25.2 IPS
 
Image Classification (F16)
100% 121
22.6 IPS
 
Image Classification (I8)
99% 121
22.7 IPS
 
Image Segmentation (F32)
100% 99
1.66 IPS
 
Image Segmentation (F16)
100% 101
1.68 IPS
 
Image Segmentation (I8)
100% 99
1.66 IPS
 
Pose Estimation (F32)
100% 694
0.84 IPS
 
Pose Estimation (F16)
100% 690
0.84 IPS
 
Pose Estimation (I8)
100% 673
0.81 IPS
 
Object Detection (F32)
100% 143
10.7 IPS
 
Object Detection (F16)
100% 129
9.66 IPS
 
Object Detection (I8)
97% 146
10.9 IPS
 
Face Detection (F32)
100% 247
2.94 IPS
 
Face Detection (F16)
100% 243
2.88 IPS
 
Face Detection (I8)
99% 241
2.87 IPS
 
Depth Estimation (F32)
100% 338
2.62 IPS
 
Depth Estimation (F16)
100% 316
2.45 IPS
 
Depth Estimation (I8)
99% 315
2.44 IPS
 
Style Transfer (F32)
100% 968
1.27 IPS
 
Style Transfer (F16)
100% 962
1.27 IPS
 
Style Transfer (I8)
100% 944
1.24 IPS
 
Image Super-Resolution (F32)
100% 296
10.6 IPS
 
Image Super-Resolution (F16)
100% 296
10.6 IPS
 
Image Super-Resolution (I8)
100% 291
10.4 IPS
 
Text Classification (F32)
100% 121
173.4 IPS
 
Text Classification (F16)
100% 97
139.6 IPS
 
Text Classification (I8)
96% 95
137.1 IPS
 
Machine Translation (F32)
100% 165
3.04 IPS
 
Machine Translation (F16)
100% 143
2.62 IPS
 
Machine Translation (I8)
99% 175
3.22 IPS
 

Compare

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