iPhone14,4
Geekbench ML Score
916
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 23 2021 03:10 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| 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% |
775
83.0 IPS |
|
|
Image Classification (F16)
|
100% |
736
78.9 IPS |
|
|
Image Classification (I8)
|
81% |
463
49.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1059
6.54 IPS |
|
|
Image Segmentation (F16)
|
100% |
1026
6.34 IPS |
|
|
Image Segmentation (I8)
|
89% |
1453
8.98 IPS |
|
|
Pose Estimation (F32)
|
100% |
403
1.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
394
1.59 IPS |
|
|
Pose Estimation (I8)
|
80% |
464
1.88 IPS |
|
|
Object Detection (F32)
|
100% |
1016
35.7 IPS |
|
|
Object Detection (F16)
|
100% |
1017
35.7 IPS |
|
|
Object Detection (I8)
|
52% |
757
26.6 IPS |
|
|
Face Detection (F32)
|
100% |
1278
14.7 IPS |
|
|
Face Detection (F16)
|
100% |
1235
14.2 IPS |
|
|
Face Detection (I8)
|
75% |
841
9.66 IPS |
|
|
Text Classification (F32)
|
100% |
1247
493.0 IPS |
|
|
Text Classification (F16)
|
100% |
1227
485.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1976
304.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1970
303.7 IPS |
