Geekbench ML Score

5981
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64

Result Information

Upload Date June 17 2024 04:46 PM
Views 1

System Information

System Information
Operating System iOS 17.5.1
Model iPhone 15 Pro Max
Model IDiPhone16,2
Motherboard D84AP
CPU Information
Name Apple A17 Pro
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 3.78 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 7.44 GB
Inference Information
Framework Core ML
Backend Neural Engine
Device Default

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 1640
306.8 IPS
 
Image Classification (F16)
100% 6226
1.17 KIPS
 
Image Classification (I8)
99% 6762
1.27 KIPS
 
Image Segmentation (F32)
100% 1379
23.0 IPS
 
Image Segmentation (F16)
100% 1782
29.8 IPS
 
Image Segmentation (I8)
100% 1763
29.4 IPS
 
Pose Estimation (F32)
100% 14580
17.7 IPS
 
Pose Estimation (F16)
100% 82415
99.8 IPS
 
Pose Estimation (I8)
100% 84489
102.3 IPS
 
Object Detection (F32)
100% 1474
110.0 IPS
 
Object Detection (F16)
100% 3658
273.1 IPS
 
Object Detection (I8)
97% 1736
129.6 IPS
 
Face Detection (F32)
100% 6437
76.5 IPS
 
Face Detection (F16)
97% 10552
125.5 IPS
 
Face Detection (I8)
96% 10480
124.6 IPS
 
Depth Estimation (F32)
100% 12202
94.6 IPS
 
Depth Estimation (F16)
100% 40605
314.9 IPS
 
Depth Estimation (I8)
37% 40695
315.6 IPS
 
Style Transfer (F32)
100% 27715
36.5 IPS
 
Style Transfer (F16)
100% 122247
160.8 IPS
 
Style Transfer (I8)
100% 120286
158.2 IPS
 
Image Super-Resolution (F32)
100% 6899
246.4 IPS
 
Image Super-Resolution (F16)
100% 16645
594.4 IPS
 
Image Super-Resolution (I8)
100% 18077
645.6 IPS
 
Text Classification (F32)
100% 458
658.1 IPS
 
Text Classification (F16)
100% 513
737.3 IPS
 
Text Classification (I8)
96% 310
445.7 IPS
 
Machine Translation (F32)
100% 747
13.7 IPS
 
Machine Translation (F16)
100% 1563
28.8 IPS
 
Machine Translation (I8)
99% 686
12.6 IPS
 

Compare

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