iPhone 14
Geekbench ML Score
1930
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 06 2024 01:42 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.5.1 |
| 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% |
942
176.2 IPS |
|
|
Image Classification (F16)
|
100% |
902
168.8 IPS |
|
|
Image Classification (I8)
|
99% |
902
168.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
638
10.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
569
9.51 IPS |
|
|
Image Segmentation (I8)
|
100% |
568
9.48 IPS |
|
|
Pose Estimation (F32)
|
100% |
5770
6.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
9568
11.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
9571
11.6 IPS |
|
|
Object Detection (F32)
|
100% |
1007
75.2 IPS |
|
|
Object Detection (F16)
|
100% |
1030
76.9 IPS |
|
|
Object Detection (I8)
|
97% |
1013
75.7 IPS |
|
|
Face Detection (F32)
|
100% |
1806
21.5 IPS |
|
|
Face Detection (F16)
|
100% |
1634
19.4 IPS |
|
|
Face Detection (I8)
|
99% |
1626
19.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3320
25.7 IPS |
|
|
Depth Estimation (F16)
|
99% |
3634
28.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
3628
28.1 IPS |
|
|
Style Transfer (F32)
|
100% |
10295
13.5 IPS |
|
|
Style Transfer (F16)
|
100% |
11797
15.5 IPS |
|
|
Style Transfer (I8)
|
100% |
11775
15.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2554
91.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2584
92.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2590
92.5 IPS |
|
|
Text Classification (F32)
|
100% |
971
1.40 KIPS |
|
|
Text Classification (F16)
|
100% |
450
647.0 IPS |
|
|
Text Classification (I8)
|
96% |
591
848.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1351
24.9 IPS |
|
|
Machine Translation (F16)
|
99% |
1778
32.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1339
24.6 IPS |
