iPhone14,6
Geekbench ML Score
1801
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | March 11 2022 12:06 AM |
| Views | 66 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4 |
| Model | iPhone14,6 |
| Model ID | iPhone14,6 |
| Motherboard | D49AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 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% |
1699
182.0 IPS |
|
|
Image Classification (F16)
|
100% |
2460
263.6 IPS |
|
|
Image Classification (I8)
|
81% |
668
71.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
5242
32.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
7292
45.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
1149
7.10 IPS |
|
|
Pose Estimation (F32)
|
100% |
1758
7.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
4171
16.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
218
0.88 IPS |
|
|
Object Detection (F32)
|
100% |
1586
55.7 IPS |
|
|
Object Detection (F16)
|
100% |
3157
110.8 IPS |
|
|
Object Detection (I8)
|
52% |
907
31.8 IPS |
|
|
Face Detection (F32)
|
100% |
4787
55.0 IPS |
|
|
Face Detection (F16)
|
97% |
5886
67.6 IPS |
|
|
Face Detection (I8)
|
75% |
851
9.77 IPS |
|
|
Text Classification (F32)
|
100% |
868
343.4 IPS |
|
|
Text Classification (F16)
|
100% |
1010
399.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1956
301.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1956
301.5 IPS |
