Geekbench ML Score

5271
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date June 10 2024 08:06 PM
Views 11

System Information

System Information
Operating System iOS 16.7.2
Model iPhone 14
Model IDiPhone14,7
Motherboard D27AP
CPU Information
Name Apple A15 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 3.23 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 5.56 GB
Inference Information
Framework Core ML
Backend Neural Engine
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 1235
231.0 IPS
 
Image Classification (F16)
100% 5714
1.07 KIPS
 
Image Classification (I8)
99% 5398
1.01 KIPS
 
Image Segmentation (F32)
100% 566
9.45 IPS
 
Image Segmentation (F16)
100% 2974
49.7 IPS
 
Image Segmentation (I8)
100% 2978
49.7 IPS
 
Pose Estimation (F32)
100% 11154
13.5 IPS
 
Pose Estimation (F16)
100% 79929
96.8 IPS
 
Pose Estimation (I8)
100% 80561
97.6 IPS
 
Object Detection (F32)
100% 1243
92.8 IPS
 
Object Detection (F16)
100% 3443
257.1 IPS
 
Object Detection (I8)
97% 1371
102.4 IPS
 
Face Detection (F32)
100% 4092
48.7 IPS
 
Face Detection (F16)
97% 10751
127.8 IPS
 
Face Detection (I8)
96% 9470
112.6 IPS
 
Depth Estimation (F32)
100% 8561
66.4 IPS
 
Depth Estimation (F16)
100% 33424
259.2 IPS
 
Depth Estimation (I8)
99% 34551
267.9 IPS
 
Style Transfer (F32)
100% 19198
25.3 IPS
 
Style Transfer (F16)
100% 70577
92.8 IPS
 
Style Transfer (I8)
100% 75438
99.2 IPS
 
Image Super-Resolution (F32)
100% 3785
135.2 IPS
 
Image Super-Resolution (F16)
100% 13010
464.6 IPS
 
Image Super-Resolution (I8)
100% 13129
468.9 IPS
 
Text Classification (F32)
100% 433
622.5 IPS
 
Text Classification (F16)
100% 844
1.21 KIPS
 
Text Classification (I8)
96% 844
1.21 KIPS
 
Machine Translation (F32)
100% 716
13.2 IPS
 
Machine Translation (F16)
100% 1342
24.7 IPS
 
Machine Translation (I8)
99% 700
12.9 IPS
 

Compare

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