iPhone14,6
Geekbench ML Score
893
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 30 2025 06:52 PM |
| Views | 8 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
759
81.3 IPS |
|
|
Image Classification (F16)
|
100% |
714
76.5 IPS |
|
|
Image Classification (I8)
|
81% |
453
48.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1057
6.53 IPS |
|
|
Image Segmentation (F16)
|
100% |
1007
6.22 IPS |
|
|
Image Segmentation (I8)
|
89% |
1429
8.83 IPS |
|
|
Pose Estimation (F32)
|
100% |
398
1.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
393
1.59 IPS |
|
|
Pose Estimation (I8)
|
80% |
462
1.87 IPS |
|
|
Object Detection (F32)
|
100% |
1006
35.3 IPS |
|
|
Object Detection (F16)
|
100% |
1005
35.3 IPS |
|
|
Object Detection (I8)
|
52% |
775
27.2 IPS |
|
|
Face Detection (F32)
|
100% |
1263
14.5 IPS |
|
|
Face Detection (F16)
|
100% |
1214
13.9 IPS |
|
|
Face Detection (I8)
|
75% |
838
9.63 IPS |
|
|
Text Classification (F32)
|
100% |
1002
396.4 IPS |
|
|
Text Classification (F16)
|
100% |
1133
448.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1962
302.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1950
300.5 IPS |
