Geekbench ML Score

619
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date July 04 2025 07:59 AM
Views 3

System Information

System Information
Operating System iOS 16.7.11
Model iPhone 8 Plus
Model IDiPhone10,5
Motherboard D211AP
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 2.90 GB
Inference Information
Framework Core ML
Backend Neural Engine
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 177
33.1 IPS
 
Image Classification (F16)
100% 142
26.5 IPS
 
Image Classification (I8)
99% 142
26.5 IPS
 
Image Segmentation (F32)
100% 188
3.14 IPS
 
Image Segmentation (F16)
100% 199
3.32 IPS
 
Image Segmentation (I8)
100% 198
3.31 IPS
 
Pose Estimation (F32)
100% 2288
2.77 IPS
 
Pose Estimation (F16)
100% 2607
3.16 IPS
 
Pose Estimation (I8)
100% 2820
3.42 IPS
 
Object Detection (F32)
100% 261
19.5 IPS
 
Object Detection (F16)
100% 265
19.8 IPS
 
Object Detection (I8)
97% 293
21.8 IPS
 
Face Detection (F32)
100% 934
11.1 IPS
 
Face Detection (F16)
100% 954
11.3 IPS
 
Face Detection (I8)
99% 940
11.2 IPS
 
Depth Estimation (F32)
100% 2193
17.0 IPS
 
Depth Estimation (F16)
100% 2445
19.0 IPS
 
Depth Estimation (I8)
99% 2322
18.0 IPS
 
Style Transfer (F32)
100% 4766
6.27 IPS
 
Style Transfer (F16)
100% 4838
6.36 IPS
 
Style Transfer (I8)
100% 4808
6.32 IPS
 
Image Super-Resolution (F32)
100% 1033
36.9 IPS
 
Image Super-Resolution (F16)
100% 1126
40.2 IPS
 
Image Super-Resolution (I8)
100% 1033
36.9 IPS
 
Text Classification (F32)
100% 48
69.7 IPS
 
Text Classification (F16)
100% 202
290.6 IPS
 
Text Classification (I8)
96% 201
288.5 IPS
 
Machine Translation (F32)
100% 314
5.79 IPS
 
Machine Translation (F16)
100% 244
4.49 IPS
 
Machine Translation (I8)
99% 307
5.65 IPS
 

Compare

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