iPhone14,3
Geekbench ML Score
934
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 07:59 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| Model | iPhone14,3 |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.21 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% |
780
83.5 IPS |
|
|
Image Classification (F16)
|
100% |
739
79.2 IPS |
|
|
Image Classification (I8)
|
81% |
478
51.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1073
6.62 IPS |
|
|
Image Segmentation (F16)
|
100% |
1069
6.61 IPS |
|
|
Image Segmentation (I8)
|
89% |
1436
8.87 IPS |
|
|
Pose Estimation (F32)
|
100% |
413
1.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
410
1.66 IPS |
|
|
Pose Estimation (I8)
|
80% |
491
1.99 IPS |
|
|
Object Detection (F32)
|
100% |
1080
37.9 IPS |
|
|
Object Detection (F16)
|
100% |
1077
37.8 IPS |
|
|
Object Detection (I8)
|
52% |
751
26.3 IPS |
|
|
Face Detection (F32)
|
100% |
1293
14.9 IPS |
|
|
Face Detection (F16)
|
100% |
1279
14.7 IPS |
|
|
Face Detection (I8)
|
75% |
843
9.69 IPS |
|
|
Text Classification (F32)
|
100% |
1368
541.0 IPS |
|
|
Text Classification (F16)
|
100% |
1137
449.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1950
300.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1965
302.9 IPS |
