iPhone14,3
Geekbench ML Score
941
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 24 2021 12:43 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| Model | iPhone14,3 |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| 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 | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
774
83.0 IPS |
|
|
Image Classification (F16)
|
100% |
769
82.4 IPS |
|
|
Image Classification (I8)
|
81% |
461
49.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1106
6.83 IPS |
|
|
Image Segmentation (F16)
|
100% |
1090
6.73 IPS |
|
|
Image Segmentation (I8)
|
89% |
1461
9.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
441
1.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
426
1.72 IPS |
|
|
Pose Estimation (I8)
|
80% |
494
2.00 IPS |
|
|
Object Detection (F32)
|
100% |
1093
38.4 IPS |
|
|
Object Detection (F16)
|
100% |
1099
38.6 IPS |
|
|
Object Detection (I8)
|
52% |
771
27.0 IPS |
|
|
Face Detection (F32)
|
100% |
1337
15.4 IPS |
|
|
Face Detection (F16)
|
100% |
1313
15.1 IPS |
|
|
Face Detection (I8)
|
75% |
855
9.82 IPS |
|
|
Text Classification (F32)
|
100% |
1144
452.5 IPS |
|
|
Text Classification (F16)
|
100% |
1154
456.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1976
304.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1968
303.3 IPS |
