iPhone14,2
Geekbench ML Score
900
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 07:42 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| 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% |
751
80.5 IPS |
|
|
Image Classification (F16)
|
100% |
727
77.9 IPS |
|
|
Image Classification (I8)
|
81% |
324
34.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1006
6.21 IPS |
|
|
Image Segmentation (F16)
|
100% |
1017
6.28 IPS |
|
|
Image Segmentation (I8)
|
89% |
1412
8.72 IPS |
|
|
Pose Estimation (F32)
|
100% |
406
1.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
401
1.62 IPS |
|
|
Pose Estimation (I8)
|
80% |
481
1.95 IPS |
|
|
Object Detection (F32)
|
100% |
1076
37.8 IPS |
|
|
Object Detection (F16)
|
100% |
1075
37.7 IPS |
|
|
Object Detection (I8)
|
52% |
727
25.5 IPS |
|
|
Face Detection (F32)
|
100% |
1338
15.4 IPS |
|
|
Face Detection (F16)
|
100% |
1302
15.0 IPS |
|
|
Face Detection (I8)
|
75% |
843
9.69 IPS |
|
|
Text Classification (F32)
|
100% |
1168
462.1 IPS |
|
|
Text Classification (F16)
|
100% |
1212
479.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1975
304.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1973
304.1 IPS |
