Geekbench ML Score

630
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date February 20 2025 07:36 AM
Views 6

System Information

System Information
Operating System iOS 16.7.10
Model iPhone 8 Plus
Model IDiPhone10,2
Motherboard D21AP
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% 196
36.8 IPS
 
Image Classification (F16)
100% 158
29.6 IPS
 
Image Classification (I8)
99% 145
27.1 IPS
 
Image Segmentation (F32)
100% 187
3.12 IPS
 
Image Segmentation (F16)
100% 198
3.30 IPS
 
Image Segmentation (I8)
100% 198
3.31 IPS
 
Pose Estimation (F32)
100% 2280
2.76 IPS
 
Pose Estimation (F16)
100% 2638
3.19 IPS
 
Pose Estimation (I8)
100% 2624
3.18 IPS
 
Object Detection (F32)
100% 319
23.9 IPS
 
Object Detection (F16)
100% 260
19.4 IPS
 
Object Detection (I8)
97% 303
22.6 IPS
 
Face Detection (F32)
100% 877
10.4 IPS
 
Face Detection (F16)
100% 975
11.6 IPS
 
Face Detection (I8)
99% 986
11.7 IPS
 
Depth Estimation (F32)
100% 2149
16.7 IPS
 
Depth Estimation (F16)
100% 2480
19.2 IPS
 
Depth Estimation (I8)
99% 2645
20.5 IPS
 
Style Transfer (F32)
100% 4645
6.11 IPS
 
Style Transfer (F16)
100% 5217
6.86 IPS
 
Style Transfer (I8)
100% 5030
6.62 IPS
 
Image Super-Resolution (F32)
100% 979
35.0 IPS
 
Image Super-Resolution (F16)
100% 1182
42.2 IPS
 
Image Super-Resolution (I8)
100% 1132
40.4 IPS
 
Text Classification (F32)
100% 49
70.9 IPS
 
Text Classification (F16)
100% 199
286.1 IPS
 
Text Classification (I8)
96% 204
293.2 IPS
 
Machine Translation (F32)
100% 263
4.85 IPS
 
Machine Translation (F16)
100% 240
4.41 IPS
 
Machine Translation (I8)
99% 311
5.72 IPS
 

Compare

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