Geekbench ML Score

3881
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date September 07 2024 01:50 AM
Views 1

System Information

System Information
Operating System iOS 17.6.1
Model iPhone 12 Mini
Model IDiPhone13,1
Motherboard D52gAP
CPU Information
Name Apple A14 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 2.99 GHz
Cluster 12 Cores
Cluster 24 Cores
L1 Instruction Cache128 KB x 1
L1 Data Cache64.0 KB x 1
L2 Cache4.00 MB x 1
Memory Information
Size 3.57 GB
Inference Information
Framework Core ML
Backend Neural Engine
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 319
59.7 IPS
 
Image Classification (F16)
100% 3581
670.0 IPS
 
Image Classification (I8)
99% 4695
878.6 IPS
 
Image Segmentation (F32)
100% 542
9.05 IPS
 
Image Segmentation (F16)
100% 3279
54.8 IPS
 
Image Segmentation (I8)
100% 3277
54.7 IPS
 
Pose Estimation (F32)
100% 5829
7.06 IPS
 
Pose Estimation (F16)
100% 61551
74.5 IPS
 
Pose Estimation (I8)
100% 58395
70.7 IPS
 
Object Detection (F32)
100% 593
44.3 IPS
 
Object Detection (F16)
100% 3405
254.2 IPS
 
Object Detection (I8)
97% 532
39.7 IPS
 
Face Detection (F32)
100% 2732
32.5 IPS
 
Face Detection (F16)
97% 10290
122.3 IPS
 
Face Detection (I8)
96% 10262
122.0 IPS
 
Depth Estimation (F32)
100% 5370
41.6 IPS
 
Depth Estimation (F16)
100% 33659
261.0 IPS
 
Depth Estimation (I8)
37% 35187
272.9 IPS
 
Style Transfer (F32)
100% 10586
13.9 IPS
 
Style Transfer (F16)
100% 94078
123.8 IPS
 
Style Transfer (I8)
100% 98652
129.8 IPS
 
Image Super-Resolution (F32)
100% 1862
66.5 IPS
 
Image Super-Resolution (F16)
100% 15383
549.4 IPS
 
Image Super-Resolution (I8)
100% 15474
552.6 IPS
 
Text Classification (F32)
100% 254
364.6 IPS
 
Text Classification (F16)
100% 898
1.29 KIPS
 
Text Classification (I8)
96% 327
470.5 IPS
 
Machine Translation (F32)
100% 331
6.09 IPS
 
Machine Translation (F16)
100% 1023
18.8 IPS
 
Machine Translation (I8)
99% 331
6.09 IPS
 

Compare

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