Geekbench ML Score

281
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date October 25 2024 08:04 PM
Views 3

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% 146
27.4 IPS
 
Image Classification (F16)
100% 143
26.7 IPS
 
Image Classification (I8)
99% 142
26.6 IPS
 
Image Segmentation (F32)
100% 141
2.36 IPS
 
Image Segmentation (F16)
100% 139
2.32 IPS
 
Image Segmentation (I8)
100% 139
2.32 IPS
 
Pose Estimation (F32)
100% 550
0.67 IPS
 
Pose Estimation (F16)
100% 549
0.66 IPS
 
Pose Estimation (I8)
100% 548
0.66 IPS
 
Object Detection (F32)
100% 163
12.2 IPS
 
Object Detection (F16)
100% 155
11.6 IPS
 
Object Detection (I8)
97% 164
12.3 IPS
 
Face Detection (F32)
100% 359
4.27 IPS
 
Face Detection (F16)
100% 355
4.22 IPS
 
Face Detection (I8)
99% 356
4.23 IPS
 
Depth Estimation (F32)
100% 389
3.02 IPS
 
Depth Estimation (F16)
100% 383
2.97 IPS
 
Depth Estimation (I8)
99% 374
2.90 IPS
 
Style Transfer (F32)
100% 970
1.28 IPS
 
Style Transfer (F16)
100% 973
1.28 IPS
 
Style Transfer (I8)
100% 971
1.28 IPS
 
Image Super-Resolution (F32)
100% 380
13.6 IPS
 
Image Super-Resolution (F16)
100% 380
13.6 IPS
 
Image Super-Resolution (I8)
100% 380
13.6 IPS
 
Text Classification (F32)
100% 144
206.3 IPS
 
Text Classification (F16)
100% 150
214.9 IPS
 
Text Classification (I8)
96% 149
213.6 IPS
 
Machine Translation (F32)
100% 254
4.68 IPS
 
Machine Translation (F16)
100% 198
3.64 IPS
 
Machine Translation (I8)
99% 254
4.67 IPS
 

Compare

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