iPhone14,8
Geekbench ML Score
912
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 02 2023 10:12 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0.2 |
| Model | iPhone14,8 |
| Model ID | iPhone14,8 |
| Motherboard | D28AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.24 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 | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
756
81.0 IPS |
|
|
Image Classification (F16)
|
100% |
741
79.4 IPS |
|
|
Image Classification (I8)
|
81% |
466
50.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1085
6.70 IPS |
|
|
Image Segmentation (F16)
|
100% |
1043
6.44 IPS |
|
|
Image Segmentation (I8)
|
89% |
1448
8.94 IPS |
|
|
Pose Estimation (F32)
|
100% |
410
1.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
406
1.64 IPS |
|
|
Pose Estimation (I8)
|
80% |
475
1.92 IPS |
|
|
Object Detection (F32)
|
100% |
1028
36.1 IPS |
|
|
Object Detection (F16)
|
100% |
1054
37.0 IPS |
|
|
Object Detection (I8)
|
52% |
785
27.6 IPS |
|
|
Face Detection (F32)
|
100% |
1283
14.7 IPS |
|
|
Face Detection (F16)
|
100% |
1251
14.4 IPS |
|
|
Face Detection (I8)
|
75% |
851
9.77 IPS |
|
|
Text Classification (F32)
|
100% |
1015
401.5 IPS |
|
|
Text Classification (F16)
|
100% |
1033
408.6 IPS |
|
|
Machine Translation (F32)
|
100% |
2065
318.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2060
317.5 IPS |
