iPhone 14
Geekbench ML Score
1857
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 07 2025 01:36 PM |
| Views | 11 |
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% |
920
172.2 IPS |
|
|
Image Classification (F16)
|
100% |
876
163.9 IPS |
|
|
Image Classification (I8)
|
99% |
863
161.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
573
9.57 IPS |
|
|
Image Segmentation (F16)
|
100% |
516
8.61 IPS |
|
|
Image Segmentation (I8)
|
100% |
519
8.67 IPS |
|
|
Pose Estimation (F32)
|
100% |
5108
6.19 IPS |
|
|
Pose Estimation (F16)
|
100% |
9482
11.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
9249
11.2 IPS |
|
|
Object Detection (F32)
|
100% |
993
74.1 IPS |
|
|
Object Detection (F16)
|
100% |
1012
75.5 IPS |
|
|
Object Detection (I8)
|
97% |
977
73.0 IPS |
|
|
Face Detection (F32)
|
100% |
1710
20.3 IPS |
|
|
Face Detection (F16)
|
100% |
1501
17.9 IPS |
|
|
Face Detection (I8)
|
99% |
1511
18.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
3104
24.1 IPS |
|
|
Depth Estimation (F16)
|
99% |
3592
27.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
3487
27.0 IPS |
|
|
Style Transfer (F32)
|
100% |
9630
12.7 IPS |
|
|
Style Transfer (F16)
|
100% |
11364
14.9 IPS |
|
|
Style Transfer (I8)
|
100% |
11388
15.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2365
84.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2563
91.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2565
91.6 IPS |
|
|
Text Classification (F32)
|
100% |
985
1.41 KIPS |
|
|
Text Classification (F16)
|
100% |
469
674.0 IPS |
|
|
Text Classification (I8)
|
96% |
618
888.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1337
24.6 IPS |
|
|
Machine Translation (F16)
|
99% |
1706
31.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1309
24.1 IPS |
