iPhone14,6
Geekbench ML Score
891
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | March 10 2022 11:59 PM |
| Views | 113 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4 |
| Model | iPhone14,6 |
| Model ID | iPhone14,6 |
| Motherboard | D49AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.22 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 | 3.79 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
744
79.7 IPS |
|
|
Image Classification (F16)
|
100% |
702
75.3 IPS |
|
|
Image Classification (I8)
|
81% |
464
49.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1033
6.38 IPS |
|
|
Image Segmentation (F16)
|
100% |
988
6.11 IPS |
|
|
Image Segmentation (I8)
|
89% |
1454
8.98 IPS |
|
|
Pose Estimation (F32)
|
100% |
393
1.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
382
1.55 IPS |
|
|
Pose Estimation (I8)
|
80% |
454
1.84 IPS |
|
|
Object Detection (F32)
|
100% |
994
34.9 IPS |
|
|
Object Detection (F16)
|
100% |
997
35.0 IPS |
|
|
Object Detection (I8)
|
52% |
776
27.2 IPS |
|
|
Face Detection (F32)
|
100% |
1206
13.9 IPS |
|
|
Face Detection (F16)
|
100% |
1120
12.9 IPS |
|
|
Face Detection (I8)
|
75% |
1100
12.6 IPS |
|
|
Text Classification (F32)
|
100% |
1028
406.5 IPS |
|
|
Text Classification (F16)
|
100% |
1026
405.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1956
301.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1955
301.3 IPS |
