iPhone 14
Geekbench ML Score
1859
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 29 2025 08:30 PM |
| Views | 5 |
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% |
948
177.5 IPS |
|
|
Image Classification (F16)
|
100% |
907
169.6 IPS |
|
|
Image Classification (I8)
|
99% |
899
168.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
590
9.85 IPS |
|
|
Image Segmentation (F16)
|
100% |
540
9.02 IPS |
|
|
Image Segmentation (I8)
|
100% |
518
8.66 IPS |
|
|
Pose Estimation (F32)
|
100% |
5116
6.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
9594
11.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
9574
11.6 IPS |
|
|
Object Detection (F32)
|
100% |
994
74.2 IPS |
|
|
Object Detection (F16)
|
100% |
1036
77.3 IPS |
|
|
Object Detection (I8)
|
97% |
1017
75.9 IPS |
|
|
Face Detection (F32)
|
100% |
1677
19.9 IPS |
|
|
Face Detection (F16)
|
100% |
1495
17.8 IPS |
|
|
Face Detection (I8)
|
99% |
1481
17.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
3099
24.0 IPS |
|
|
Depth Estimation (F16)
|
99% |
3567
27.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
3424
26.6 IPS |
|
|
Style Transfer (F32)
|
100% |
9374
12.3 IPS |
|
|
Style Transfer (F16)
|
100% |
11139
14.7 IPS |
|
|
Style Transfer (I8)
|
100% |
11050
14.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2330
83.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2545
90.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2471
88.2 IPS |
|
|
Text Classification (F32)
|
100% |
1001
1.44 KIPS |
|
|
Text Classification (F16)
|
100% |
462
663.4 IPS |
|
|
Text Classification (I8)
|
96% |
614
882.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1310
24.1 IPS |
|
|
Machine Translation (F16)
|
99% |
1689
31.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1290
23.7 IPS |
