iPhone 14
Geekbench ML Score
1919
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 02 2025 07:42 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% |
960
179.7 IPS |
|
|
Image Classification (F16)
|
100% |
919
172.0 IPS |
|
|
Image Classification (I8)
|
99% |
914
170.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
623
10.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
555
9.28 IPS |
|
|
Image Segmentation (I8)
|
100% |
557
9.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
5341
6.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
9602
11.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
9549
11.6 IPS |
|
|
Object Detection (F32)
|
100% |
1021
76.2 IPS |
|
|
Object Detection (F16)
|
100% |
1057
78.9 IPS |
|
|
Object Detection (I8)
|
97% |
1056
78.8 IPS |
|
|
Face Detection (F32)
|
100% |
1750
20.8 IPS |
|
|
Face Detection (F16)
|
100% |
1574
18.7 IPS |
|
|
Face Detection (I8)
|
99% |
1557
18.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
3234
25.1 IPS |
|
|
Depth Estimation (F16)
|
99% |
3665
28.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
3614
28.0 IPS |
|
|
Style Transfer (F32)
|
100% |
9831
12.9 IPS |
|
|
Style Transfer (F16)
|
100% |
11718
15.4 IPS |
|
|
Style Transfer (I8)
|
100% |
11699
15.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2430
86.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2551
91.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2555
91.3 IPS |
|
|
Text Classification (F32)
|
100% |
1001
1.44 KIPS |
|
|
Text Classification (F16)
|
100% |
463
665.2 IPS |
|
|
Text Classification (I8)
|
96% |
636
914.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1364
25.1 IPS |
|
|
Machine Translation (F16)
|
99% |
1735
31.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1326
24.4 IPS |
