iPhone14,3
Geekbench ML Score
967
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 14 2021 06:56 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| Model | iPhone14,3 |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| 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 | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
785
84.1 IPS |
|
|
Image Classification (F16)
|
100% |
761
81.5 IPS |
|
|
Image Classification (I8)
|
81% |
467
50.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1132
6.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
1096
6.77 IPS |
|
|
Image Segmentation (I8)
|
89% |
1455
8.99 IPS |
|
|
Pose Estimation (F32)
|
100% |
435
1.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
431
1.74 IPS |
|
|
Pose Estimation (I8)
|
80% |
495
2.00 IPS |
|
|
Object Detection (F32)
|
100% |
1114
39.1 IPS |
|
|
Object Detection (F16)
|
100% |
1117
39.2 IPS |
|
|
Object Detection (I8)
|
52% |
743
26.1 IPS |
|
|
Face Detection (F32)
|
100% |
1342
15.4 IPS |
|
|
Face Detection (F16)
|
100% |
1324
15.2 IPS |
|
|
Face Detection (I8)
|
75% |
854
9.82 IPS |
|
|
Text Classification (F32)
|
100% |
1628
643.9 IPS |
|
|
Text Classification (F16)
|
100% |
1303
515.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1961
302.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1960
302.0 IPS |
