iPhone 14
Geekbench ML Score
1870
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 26 2025 04:09 PM |
| Views | 8 |
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% |
956
179.0 IPS |
|
|
Image Classification (F16)
|
100% |
890
166.6 IPS |
|
|
Image Classification (I8)
|
99% |
875
163.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
581
9.71 IPS |
|
|
Image Segmentation (F16)
|
100% |
520
8.69 IPS |
|
|
Image Segmentation (I8)
|
100% |
519
8.66 IPS |
|
|
Pose Estimation (F32)
|
100% |
5177
6.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
9506
11.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
9240
11.2 IPS |
|
|
Object Detection (F32)
|
100% |
1017
75.9 IPS |
|
|
Object Detection (F16)
|
100% |
1025
76.5 IPS |
|
|
Object Detection (I8)
|
97% |
1020
76.2 IPS |
|
|
Face Detection (F32)
|
100% |
1694
20.1 IPS |
|
|
Face Detection (F16)
|
100% |
1498
17.8 IPS |
|
|
Face Detection (I8)
|
99% |
1511
18.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
3133
24.3 IPS |
|
|
Depth Estimation (F16)
|
99% |
3691
28.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
3538
27.4 IPS |
|
|
Style Transfer (F32)
|
100% |
9444
12.4 IPS |
|
|
Style Transfer (F16)
|
100% |
11226
14.8 IPS |
|
|
Style Transfer (I8)
|
100% |
11212
14.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2385
85.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2567
91.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2563
91.5 IPS |
|
|
Text Classification (F32)
|
100% |
987
1.42 KIPS |
|
|
Text Classification (F16)
|
100% |
464
666.9 IPS |
|
|
Text Classification (I8)
|
96% |
648
931.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1342
24.7 IPS |
|
|
Machine Translation (F16)
|
99% |
1705
31.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1287
23.7 IPS |
