Geekbench ML Score

275
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date February 10 2025 07:33 PM
Views 4

System Information

System Information
Operating System iOS 16.7.10
Model iPhone X
Model IDiPhone10,6
Motherboard D221AP
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 CPU
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 136
25.4 IPS
 
Image Classification (F16)
100% 126
23.5 IPS
 
Image Classification (I8)
99% 140
26.2 IPS
 
Image Segmentation (F32)
100% 141
2.35 IPS
 
Image Segmentation (F16)
100% 138
2.31 IPS
 
Image Segmentation (I8)
100% 139
2.33 IPS
 
Pose Estimation (F32)
100% 549
0.66 IPS
 
Pose Estimation (F16)
100% 549
0.66 IPS
 
Pose Estimation (I8)
100% 544
0.66 IPS
 
Object Detection (F32)
100% 163
12.1 IPS
 
Object Detection (F16)
100% 155
11.6 IPS
 
Object Detection (I8)
97% 163
12.2 IPS
 
Face Detection (F32)
100% 360
4.28 IPS
 
Face Detection (F16)
100% 355
4.22 IPS
 
Face Detection (I8)
99% 355
4.22 IPS
 
Depth Estimation (F32)
100% 391
3.03 IPS
 
Depth Estimation (F16)
100% 323
2.51 IPS
 
Depth Estimation (I8)
99% 373
2.89 IPS
 
Style Transfer (F32)
100% 885
1.16 IPS
 
Style Transfer (F16)
100% 975
1.28 IPS
 
Style Transfer (I8)
100% 978
1.29 IPS
 
Image Super-Resolution (F32)
100% 381
13.6 IPS
 
Image Super-Resolution (F16)
100% 380
13.6 IPS
 
Image Super-Resolution (I8)
100% 377
13.5 IPS
 
Text Classification (F32)
100% 140
201.1 IPS
 
Text Classification (F16)
100% 149
214.2 IPS
 
Text Classification (I8)
96% 149
214.1 IPS
 
Machine Translation (F32)
100% 254
4.67 IPS
 
Machine Translation (F16)
100% 194
3.58 IPS
 
Machine Translation (I8)
99% 250
4.60 IPS
 

Compare

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