iPhone 14
Geekbench ML Score
1888
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 25 2025 02:07 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3.1 |
| Model | iPhone 14 |
| Model ID | iPhone14,7 |
| Motherboard | D27AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 5.56 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
825
154.4 IPS |
|
|
Image Classification (F16)
|
100% |
793
148.3 IPS |
|
|
Image Classification (I8)
|
99% |
874
163.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
601
10.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
548
9.15 IPS |
|
|
Image Segmentation (I8)
|
100% |
543
9.06 IPS |
|
|
Pose Estimation (F32)
|
100% |
5292
6.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
9536
11.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
9494
11.5 IPS |
|
|
Object Detection (F32)
|
100% |
1020
76.2 IPS |
|
|
Object Detection (F16)
|
100% |
1049
78.3 IPS |
|
|
Object Detection (I8)
|
97% |
1033
77.1 IPS |
|
|
Face Detection (F32)
|
100% |
1734
20.6 IPS |
|
|
Face Detection (F16)
|
100% |
1578
18.8 IPS |
|
|
Face Detection (I8)
|
99% |
1570
18.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
3251
25.2 IPS |
|
|
Depth Estimation (F16)
|
99% |
3661
28.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
3610
28.0 IPS |
|
|
Style Transfer (F32)
|
100% |
9913
13.0 IPS |
|
|
Style Transfer (F16)
|
100% |
11691
15.4 IPS |
|
|
Style Transfer (I8)
|
100% |
11716
15.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2430
86.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2560
91.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2541
90.7 IPS |
|
|
Text Classification (F32)
|
100% |
986
1.42 KIPS |
|
|
Text Classification (F16)
|
100% |
461
662.3 IPS |
|
|
Text Classification (I8)
|
96% |
610
876.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1356
25.0 IPS |
|
|
Machine Translation (F16)
|
99% |
1777
32.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1334
24.6 IPS |
