Geekbench ML Score

393
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

User hrdc0r3
Upload Date January 17 2025 10:16 AM
Views 4

System Information

System Information
Operating System iOS 15.8.3
Model iPhone 7
Model IDiPhone9,3
Motherboard D101AP
CPU Information
Name Apple A10 Fusion
Topology 1 Processor, 2 Cores
Identifier ARM
Base Frequency 2.34 GHz
L1 Instruction Cache64.0 KB x 1
L1 Data Cache64.0 KB x 1
L2 Cache3.00 MB x 1
Memory Information
Size 1.95 GB
Inference Information
Framework TensorFlow Lite
Backend Core ML
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 289
30.9 IPS
 
Image Classification (F16)
100% 331
35.4 IPS
 
Image Classification (I8)
81% 314
33.7 IPS
 
Image Segmentation (F32)
100% 586
3.62 IPS
 
Image Segmentation (F16)
100% 588
3.63 IPS
 
Image Segmentation (I8)
89% 560
3.46 IPS
 
Pose Estimation (F32)
100% 451
1.83 IPS
 
Pose Estimation (F16)
100% 453
1.83 IPS
 
Pose Estimation (I8)
80% 108
0.44 IPS
 
Object Detection (F32)
100% 564
19.8 IPS
 
Object Detection (F16)
100% 552
19.4 IPS
 
Object Detection (I8)
52% 442
15.5 IPS
 
Face Detection (F32)
100% 932
10.7 IPS
 
Face Detection (F16)
100% 977
11.2 IPS
 
Face Detection (I8)
75% 371
4.26 IPS
 
Text Classification (F32)
98% 146
57.7 IPS
 
Text Classification (F16)
98% 143
56.5 IPS
 
Machine Translation (F32)
100% 405
62.4 IPS
 
Machine Translation (F16)
100% 396
61.0 IPS
 

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