iPhone14,6
Geekbench ML Score
2703
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 31 2025 12:37 PM |
| Views | 2 |
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% |
5347
573.0 IPS |
|
|
Image Classification (F16)
|
100% |
5375
575.9 IPS |
|
|
Image Classification (I8)
|
81% |
696
74.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2203
13.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2129
13.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
1209
7.47 IPS |
|
|
Pose Estimation (F32)
|
100% |
23070
93.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
22646
91.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
236
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
6858
240.7 IPS |
|
|
Object Detection (F16)
|
100% |
6868
241.0 IPS |
|
|
Object Detection (I8)
|
52% |
974
34.2 IPS |
|
|
Face Detection (F32)
|
100% |
8307
95.4 IPS |
|
|
Face Detection (F16)
|
100% |
7983
91.7 IPS |
|
|
Face Detection (I8)
|
75% |
934
10.7 IPS |
|
|
Text Classification (F32)
|
100% |
1034
409.1 IPS |
|
|
Text Classification (F16)
|
100% |
1028
406.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1957
301.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1950
300.6 IPS |
