iPhone14,6
Geekbench ML Score
911
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 31 2025 09:09 AM |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
776
83.2 IPS |
|
|
Image Classification (F16)
|
100% |
745
79.8 IPS |
|
|
Image Classification (I8)
|
81% |
458
49.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1105
6.82 IPS |
|
|
Image Segmentation (F16)
|
100% |
1044
6.45 IPS |
|
|
Image Segmentation (I8)
|
89% |
1436
8.87 IPS |
|
|
Pose Estimation (F32)
|
100% |
414
1.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
407
1.65 IPS |
|
|
Pose Estimation (I8)
|
80% |
483
1.95 IPS |
|
|
Object Detection (F32)
|
100% |
1052
36.9 IPS |
|
|
Object Detection (F16)
|
100% |
1070
37.6 IPS |
|
|
Object Detection (I8)
|
52% |
774
27.2 IPS |
|
|
Face Detection (F32)
|
100% |
1301
14.9 IPS |
|
|
Face Detection (F16)
|
100% |
1260
14.5 IPS |
|
|
Face Detection (I8)
|
75% |
850
9.77 IPS |
|
|
Text Classification (F32)
|
100% |
996
393.7 IPS |
|
|
Text Classification (F16)
|
100% |
1051
415.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1954
301.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1955
301.4 IPS |
