Geekbench ML Score

623
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date March 07 2025 03:37 PM
Views 6

System Information

System Information
Operating System iOS 16.7.10
Model iPhone 8
Model IDiPhone10,1
Motherboard D20AP
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 1.93 GB
Inference Information
Framework Core ML
Backend Neural Engine
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 174
32.7 IPS
 
Image Classification (F16)
100% 142
26.6 IPS
 
Image Classification (I8)
99% 141
26.3 IPS
 
Image Segmentation (F32)
100% 186
3.11 IPS
 
Image Segmentation (F16)
100% 199
3.32 IPS
 
Image Segmentation (I8)
100% 198
3.30 IPS
 
Pose Estimation (F32)
100% 2307
2.79 IPS
 
Pose Estimation (F16)
100% 2703
3.27 IPS
 
Pose Estimation (I8)
100% 2741
3.32 IPS
 
Object Detection (F32)
100% 334
24.9 IPS
 
Object Detection (F16)
100% 258
19.2 IPS
 
Object Detection (I8)
97% 303
22.6 IPS
 
Face Detection (F32)
100% 980
11.6 IPS
 
Face Detection (F16)
100% 989
11.8 IPS
 
Face Detection (I8)
99% 899
10.7 IPS
 
Depth Estimation (F32)
100% 2124
16.5 IPS
 
Depth Estimation (F16)
100% 2449
19.0 IPS
 
Depth Estimation (I8)
99% 2402
18.6 IPS
 
Style Transfer (F32)
100% 4161
5.47 IPS
 
Style Transfer (F16)
100% 4760
6.26 IPS
 
Style Transfer (I8)
100% 4496
5.91 IPS
 
Image Super-Resolution (F32)
100% 1189
42.5 IPS
 
Image Super-Resolution (F16)
100% 1073
38.3 IPS
 
Image Super-Resolution (I8)
100% 1076
38.4 IPS
 
Text Classification (F32)
100% 50
71.5 IPS
 
Text Classification (F16)
100% 199
285.5 IPS
 
Text Classification (I8)
96% 200
287.2 IPS
 
Machine Translation (F32)
100% 305
5.60 IPS
 
Machine Translation (F16)
100% 241
4.43 IPS
 
Machine Translation (I8)
99% 314
5.78 IPS
 

Compare

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