iPhone14,6
Geekbench ML Score
2104
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 31 2025 12:31 PM |
| Views | 9 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2522
270.3 IPS |
|
|
Image Classification (F16)
|
100% |
3944
422.6 IPS |
|
|
Image Classification (I8)
|
81% |
697
74.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
5296
32.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
7224
44.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
1256
7.76 IPS |
|
|
Pose Estimation (F32)
|
100% |
1766
7.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
4188
16.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
241
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
2799
98.2 IPS |
|
|
Object Detection (F16)
|
100% |
3102
108.9 IPS |
|
|
Object Detection (I8)
|
52% |
989
34.7 IPS |
|
|
Face Detection (F32)
|
100% |
4815
55.3 IPS |
|
|
Face Detection (F16)
|
97% |
8527
98.0 IPS |
|
|
Face Detection (I8)
|
75% |
926
10.6 IPS |
|
|
Text Classification (F32)
|
100% |
1366
540.1 IPS |
|
|
Text Classification (F16)
|
100% |
1395
551.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1921
296.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1948
300.2 IPS |
