iPhone14,4
Geekbench ML Score
912
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 09:04 PM |
| Views | 4 |
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% |
769
82.3 IPS |
|
|
Image Classification (F16)
|
100% |
736
78.8 IPS |
|
|
Image Classification (I8)
|
81% |
472
50.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1048
6.47 IPS |
|
|
Image Segmentation (F16)
|
100% |
1000
6.18 IPS |
|
|
Image Segmentation (I8)
|
89% |
1478
9.13 IPS |
|
|
Pose Estimation (F32)
|
100% |
402
1.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
389
1.58 IPS |
|
|
Pose Estimation (I8)
|
80% |
466
1.89 IPS |
|
|
Object Detection (F32)
|
100% |
986
34.6 IPS |
|
|
Object Detection (F16)
|
100% |
1002
35.2 IPS |
|
|
Object Detection (I8)
|
52% |
768
27.0 IPS |
|
|
Face Detection (F32)
|
100% |
1280
14.7 IPS |
|
|
Face Detection (F16)
|
100% |
1236
14.2 IPS |
|
|
Face Detection (I8)
|
75% |
844
9.69 IPS |
|
|
Text Classification (F32)
|
100% |
1139
450.7 IPS |
|
|
Text Classification (F16)
|
100% |
1307
516.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1966
303.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1969
303.5 IPS |
