iPhone14,2
Geekbench ML Score
944
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 23 2021 03:35 AM |
| Views | 3 |
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 | 3.21 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% |
805
86.2 IPS |
|
|
Image Classification (F16)
|
100% |
780
83.5 IPS |
|
|
Image Classification (I8)
|
81% |
459
49.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1130
6.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
1106
6.83 IPS |
|
|
Image Segmentation (I8)
|
89% |
1471
9.09 IPS |
|
|
Pose Estimation (F32)
|
100% |
437
1.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
432
1.75 IPS |
|
|
Pose Estimation (I8)
|
80% |
495
2.00 IPS |
|
|
Object Detection (F32)
|
100% |
1105
38.8 IPS |
|
|
Object Detection (F16)
|
100% |
1109
38.9 IPS |
|
|
Object Detection (I8)
|
52% |
735
25.8 IPS |
|
|
Face Detection (F32)
|
100% |
1360
15.6 IPS |
|
|
Face Detection (F16)
|
100% |
1352
15.5 IPS |
|
|
Face Detection (I8)
|
75% |
858
9.86 IPS |
|
|
Text Classification (F32)
|
100% |
1099
434.5 IPS |
|
|
Text Classification (F16)
|
100% |
1119
442.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1969
303.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1977
304.7 IPS |
