Geekbench ML Score

261
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date June 09 2025 03:09 AM
Views 3

System Information

System Information
Operating System iOS 16.7.11
Model iPad Pro (9.7-inch)
Model IDiPad6,3
Motherboard J127AP
CPU Information
Name Apple A9X
Topology 1 Processor, 2 Cores
Identifier ARM
Base Frequency 2.26 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 1.92 GB
Inference Information
Framework Core ML
Backend CPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 142
26.6 IPS
 
Image Classification (F16)
100% 125
23.5 IPS
 
Image Classification (I8)
99% 125
23.4 IPS
 
Image Segmentation (F32)
100% 120
2.00 IPS
 
Image Segmentation (F16)
100% 120
2.01 IPS
 
Image Segmentation (I8)
100% 120
2.01 IPS
 
Pose Estimation (F32)
100% 823
1.00 IPS
 
Pose Estimation (F16)
100% 814
0.99 IPS
 
Pose Estimation (I8)
100% 815
0.99 IPS
 
Object Detection (F32)
100% 154
11.5 IPS
 
Object Detection (F16)
100% 134
10.0 IPS
 
Object Detection (I8)
97% 149
11.1 IPS
 
Face Detection (F32)
100% 288
3.43 IPS
 
Face Detection (F16)
100% 289
3.44 IPS
 
Face Detection (I8)
99% 289
3.44 IPS
 
Depth Estimation (F32)
100% 401
3.11 IPS
 
Depth Estimation (F16)
100% 364
2.83 IPS
 
Depth Estimation (I8)
99% 360
2.79 IPS
 
Style Transfer (F32)
100% 1222
1.61 IPS
 
Style Transfer (F16)
100% 1170
1.54 IPS
 
Style Transfer (I8)
100% 1149
1.51 IPS
 
Image Super-Resolution (F32)
100% 324
11.6 IPS
 
Image Super-Resolution (F16)
100% 320
11.4 IPS
 
Image Super-Resolution (I8)
100% 321
11.5 IPS
 
Text Classification (F32)
100% 122
174.8 IPS
 
Text Classification (F16)
100% 100
143.6 IPS
 
Text Classification (I8)
96% 101
144.8 IPS
 
Machine Translation (F32)
100% 195
3.59 IPS
 
Machine Translation (F16)
100% 169
3.10 IPS
 
Machine Translation (I8)
99% 195
3.59 IPS
 

Compare

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