iPhone 14
Geekbench ML Score
1898
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 10 2025 05:24 PM |
| Views | 4 |
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% |
963
180.1 IPS |
|
|
Image Classification (F16)
|
100% |
908
170.0 IPS |
|
|
Image Classification (I8)
|
99% |
908
169.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
625
10.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
557
9.31 IPS |
|
|
Image Segmentation (I8)
|
100% |
538
8.99 IPS |
|
|
Pose Estimation (F32)
|
100% |
5352
6.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
9668
11.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
9585
11.6 IPS |
|
|
Object Detection (F32)
|
100% |
1020
76.2 IPS |
|
|
Object Detection (F16)
|
100% |
1028
76.7 IPS |
|
|
Object Detection (I8)
|
97% |
1033
77.1 IPS |
|
|
Face Detection (F32)
|
100% |
1696
20.2 IPS |
|
|
Face Detection (F16)
|
100% |
1532
18.2 IPS |
|
|
Face Detection (I8)
|
99% |
1529
18.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
3211
24.9 IPS |
|
|
Depth Estimation (F16)
|
99% |
3615
28.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
3529
27.4 IPS |
|
|
Style Transfer (F32)
|
100% |
9696
12.8 IPS |
|
|
Style Transfer (F16)
|
100% |
11279
14.8 IPS |
|
|
Style Transfer (I8)
|
100% |
11509
15.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2373
84.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2544
90.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2553
91.2 IPS |
|
|
Text Classification (F32)
|
100% |
984
1.41 KIPS |
|
|
Text Classification (F16)
|
100% |
463
665.8 IPS |
|
|
Text Classification (I8)
|
96% |
649
933.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1345
24.8 IPS |
|
|
Machine Translation (F16)
|
99% |
1707
31.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1307
24.1 IPS |
