iPhone14,6
Geekbench ML Score
2690
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 31 2025 12:32 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.6.1 |
| Model | iPhone14,6 |
| Model ID | iPhone14,6 |
| Motherboard | D49AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.22 GHz |
| 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 | 3.79 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5362
574.6 IPS |
|
|
Image Classification (F16)
|
100% |
5325
570.6 IPS |
|
|
Image Classification (I8)
|
81% |
697
74.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2127
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2094
12.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
1214
7.50 IPS |
|
|
Pose Estimation (F32)
|
100% |
22564
91.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
23205
93.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
235
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
6882
241.5 IPS |
|
|
Object Detection (F16)
|
100% |
6887
241.7 IPS |
|
|
Object Detection (I8)
|
52% |
953
33.4 IPS |
|
|
Face Detection (F32)
|
100% |
8033
92.3 IPS |
|
|
Face Detection (F16)
|
100% |
7963
91.5 IPS |
|
|
Face Detection (I8)
|
75% |
945
10.9 IPS |
|
|
Text Classification (F32)
|
100% |
1034
409.1 IPS |
|
|
Text Classification (F16)
|
100% |
1031
407.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1956
301.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1950
300.5 IPS |
