iPhone14,3
Geekbench ML Score
720
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 23 2021 10:31 PM |
| Views | 1 |
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 | 1.37 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% |
456
48.9 IPS |
|
|
Image Classification (F16)
|
100% |
441
47.3 IPS |
|
|
Image Classification (I8)
|
81% |
866
92.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
556
3.43 IPS |
|
|
Image Segmentation (F16)
|
100% |
558
3.44 IPS |
|
|
Image Segmentation (I8)
|
89% |
1494
9.23 IPS |
|
|
Pose Estimation (F32)
|
100% |
332
1.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
336
1.36 IPS |
|
|
Pose Estimation (I8)
|
80% |
385
1.56 IPS |
|
|
Object Detection (F32)
|
100% |
726
25.5 IPS |
|
|
Object Detection (F16)
|
100% |
727
25.5 IPS |
|
|
Object Detection (I8)
|
52% |
1111
39.0 IPS |
|
|
Face Detection (F32)
|
100% |
851
9.78 IPS |
|
|
Face Detection (F16)
|
100% |
848
9.75 IPS |
|
|
Face Detection (I8)
|
75% |
1150
13.2 IPS |
|
|
Text Classification (F32)
|
100% |
1188
469.7 IPS |
|
|
Text Classification (F16)
|
100% |
1181
467.2 IPS |
|
|
Machine Translation (F32)
|
100% |
914
140.9 IPS |
|
|
Machine Translation (F16)
|
100% |
909
140.1 IPS |
