iPhone14,6
Geekbench ML Score
718
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 25 2023 09:34 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1.1 |
| 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% |
461
49.4 IPS |
|
|
Image Classification (F16)
|
100% |
458
49.1 IPS |
|
|
Image Classification (I8)
|
81% |
937
100.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
585
3.61 IPS |
|
|
Image Segmentation (F16)
|
100% |
571
3.53 IPS |
|
|
Image Segmentation (I8)
|
89% |
1480
9.14 IPS |
|
|
Pose Estimation (F32)
|
100% |
244
0.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
332
1.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
389
1.57 IPS |
|
|
Object Detection (F32)
|
100% |
742
26.0 IPS |
|
|
Object Detection (F16)
|
100% |
742
26.0 IPS |
|
|
Object Detection (I8)
|
52% |
1126
39.5 IPS |
|
|
Face Detection (F32)
|
100% |
848
9.74 IPS |
|
|
Face Detection (F16)
|
100% |
863
9.91 IPS |
|
|
Face Detection (I8)
|
75% |
1164
13.4 IPS |
|
|
Text Classification (F32)
|
100% |
1106
437.3 IPS |
|
|
Text Classification (F16)
|
100% |
1115
440.8 IPS |
|
|
Machine Translation (F32)
|
100% |
978
150.8 IPS |
|
|
Machine Translation (F16)
|
100% |
960
147.9 IPS |
