iPhone14,4
Geekbench ML Score
951
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 07:53 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| Model | iPhone14,4 |
| Model ID | iPhone14,4 |
| Motherboard | D16AP |
| 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 | 3.61 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
750
80.4 IPS |
|
|
Image Classification (F16)
|
100% |
711
76.2 IPS |
|
|
Image Classification (I8)
|
81% |
463
49.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1036
6.40 IPS |
|
|
Image Segmentation (F16)
|
100% |
997
6.16 IPS |
|
|
Image Segmentation (I8)
|
89% |
1462
9.03 IPS |
|
|
Pose Estimation (F32)
|
100% |
395
1.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
391
1.58 IPS |
|
|
Pose Estimation (I8)
|
80% |
468
1.89 IPS |
|
|
Object Detection (F32)
|
100% |
1012
35.5 IPS |
|
|
Object Detection (F16)
|
100% |
1011
35.5 IPS |
|
|
Object Detection (I8)
|
52% |
771
27.0 IPS |
|
|
Face Detection (F32)
|
100% |
1260
14.5 IPS |
|
|
Face Detection (F16)
|
100% |
1214
14.0 IPS |
|
|
Face Detection (I8)
|
75% |
837
9.62 IPS |
|
|
Text Classification (F32)
|
100% |
2010
795.1 IPS |
|
|
Text Classification (F16)
|
100% |
1811
716.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1971
303.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1978
304.8 IPS |
