iPhone 14
Geekbench ML Score
1852
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 14 2025 07:35 PM |
| Views | 3 |
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% |
950
177.8 IPS |
|
|
Image Classification (F16)
|
100% |
907
169.7 IPS |
|
|
Image Classification (I8)
|
99% |
914
171.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
602
10.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
533
8.90 IPS |
|
|
Image Segmentation (I8)
|
100% |
519
8.67 IPS |
|
|
Pose Estimation (F32)
|
100% |
5226
6.33 IPS |
|
|
Pose Estimation (F16)
|
100% |
9444
11.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
9512
11.5 IPS |
|
|
Object Detection (F32)
|
100% |
997
74.4 IPS |
|
|
Object Detection (F16)
|
100% |
1015
75.8 IPS |
|
|
Object Detection (I8)
|
97% |
1006
75.1 IPS |
|
|
Face Detection (F32)
|
100% |
1698
20.2 IPS |
|
|
Face Detection (F16)
|
100% |
1503
17.9 IPS |
|
|
Face Detection (I8)
|
99% |
1473
17.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
3043
23.6 IPS |
|
|
Depth Estimation (F16)
|
99% |
3471
26.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
3409
26.4 IPS |
|
|
Style Transfer (F32)
|
100% |
9214
12.1 IPS |
|
|
Style Transfer (F16)
|
100% |
10925
14.4 IPS |
|
|
Style Transfer (I8)
|
100% |
10778
14.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2350
83.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2533
90.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2517
89.9 IPS |
|
|
Text Classification (F32)
|
100% |
985
1.42 KIPS |
|
|
Text Classification (F16)
|
100% |
464
667.4 IPS |
|
|
Text Classification (I8)
|
96% |
610
876.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1317
24.2 IPS |
|
|
Machine Translation (F16)
|
99% |
1650
30.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1285
23.7 IPS |
