iPhone14,6
Geekbench ML Score
727
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 06 2024 12:33 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone14,6 |
| Model ID | iPhone14,6 |
| Motherboard | D49AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 1.38 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 | 3.80 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
452
48.5 IPS |
|
|
Image Classification (F16)
|
100% |
457
48.9 IPS |
|
|
Image Classification (I8)
|
81% |
869
93.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
594
3.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
598
3.69 IPS |
|
|
Image Segmentation (I8)
|
89% |
1424
8.80 IPS |
|
|
Pose Estimation (F32)
|
100% |
251
1.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
330
1.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
383
1.55 IPS |
|
|
Object Detection (F32)
|
100% |
770
27.0 IPS |
|
|
Object Detection (F16)
|
100% |
776
27.2 IPS |
|
|
Object Detection (I8)
|
52% |
1049
36.8 IPS |
|
|
Face Detection (F32)
|
100% |
860
9.88 IPS |
|
|
Face Detection (F16)
|
100% |
874
10.0 IPS |
|
|
Face Detection (I8)
|
75% |
1136
13.1 IPS |
|
|
Text Classification (F32)
|
100% |
1308
517.5 IPS |
|
|
Text Classification (F16)
|
100% |
1299
513.8 IPS |
|
|
Machine Translation (F32)
|
100% |
946
145.8 IPS |
|
|
Machine Translation (F16)
|
100% |
960
147.9 IPS |
