iPhone14,7
Geekbench ML Score
904
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 09 2022 04:45 PM |
| Views | 23 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0 |
| Model | iPhone14,7 |
| Model ID | iPhone14,7 |
| Motherboard | D27AP |
| 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% |
785
84.1 IPS |
|
|
Image Classification (F16)
|
100% |
741
79.4 IPS |
|
|
Image Classification (I8)
|
81% |
470
50.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1076
6.65 IPS |
|
|
Image Segmentation (F16)
|
100% |
1045
6.45 IPS |
|
|
Image Segmentation (I8)
|
89% |
1464
9.04 IPS |
|
|
Pose Estimation (F32)
|
100% |
413
1.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
401
1.62 IPS |
|
|
Pose Estimation (I8)
|
80% |
472
1.91 IPS |
|
|
Object Detection (F32)
|
100% |
1025
36.0 IPS |
|
|
Object Detection (F16)
|
100% |
1032
36.2 IPS |
|
|
Object Detection (I8)
|
52% |
781
27.4 IPS |
|
|
Face Detection (F32)
|
100% |
1272
14.6 IPS |
|
|
Face Detection (F16)
|
100% |
1192
13.7 IPS |
|
|
Face Detection (I8)
|
75% |
671
7.71 IPS |
|
|
Text Classification (F32)
|
100% |
1424
563.1 IPS |
|
|
Text Classification (F16)
|
100% |
850
336.2 IPS |
|
|
Machine Translation (F32)
|
100% |
2060
317.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2031
313.0 IPS |
