iPhone14,2
Geekbench ML Score
953
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 24 2021 01:00 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| Model | iPhone14,2 |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| 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 | 5.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
781
83.6 IPS |
|
|
Image Classification (F16)
|
100% |
754
80.8 IPS |
|
|
Image Classification (I8)
|
81% |
452
48.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1099
6.79 IPS |
|
|
Image Segmentation (F16)
|
100% |
1087
6.72 IPS |
|
|
Image Segmentation (I8)
|
89% |
1455
8.99 IPS |
|
|
Pose Estimation (F32)
|
100% |
436
1.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
430
1.74 IPS |
|
|
Pose Estimation (I8)
|
80% |
495
2.00 IPS |
|
|
Object Detection (F32)
|
100% |
1117
39.2 IPS |
|
|
Object Detection (F16)
|
100% |
1107
38.8 IPS |
|
|
Object Detection (I8)
|
52% |
767
26.9 IPS |
|
|
Face Detection (F32)
|
100% |
1323
15.2 IPS |
|
|
Face Detection (F16)
|
100% |
1324
15.2 IPS |
|
|
Face Detection (I8)
|
75% |
848
9.74 IPS |
|
|
Text Classification (F32)
|
100% |
1174
464.4 IPS |
|
|
Text Classification (F16)
|
100% |
1492
590.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1960
302.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1967
303.2 IPS |
