iPhone14,6
Geekbench ML Score
2735
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | March 11 2022 12:15 AM |
| Views | 73 |
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 | 3.24 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% |
5792
620.5 IPS |
|
|
Image Classification (F16)
|
100% |
5742
615.2 IPS |
|
|
Image Classification (I8)
|
81% |
693
74.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2118
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2072
12.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
1145
7.07 IPS |
|
|
Pose Estimation (F32)
|
100% |
24038
97.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
23737
96.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
221
0.89 IPS |
|
|
Object Detection (F32)
|
100% |
7434
260.9 IPS |
|
|
Object Detection (F16)
|
100% |
7383
259.1 IPS |
|
|
Object Detection (I8)
|
52% |
891
31.3 IPS |
|
|
Face Detection (F32)
|
100% |
8279
95.1 IPS |
|
|
Face Detection (F16)
|
100% |
8317
95.6 IPS |
|
|
Face Detection (I8)
|
75% |
877
10.1 IPS |
|
|
Text Classification (F32)
|
100% |
1092
431.9 IPS |
|
|
Text Classification (F16)
|
100% |
1090
431.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1978
304.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1976
304.5 IPS |
