iPhone14,6
Geekbench ML Score
905
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 13 2023 09:22 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| Model | iPhone14,6 |
| Model ID | iPhone14,6 |
| Motherboard | D49AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 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% |
754
80.8 IPS |
|
|
Image Classification (F16)
|
100% |
717
76.9 IPS |
|
|
Image Classification (I8)
|
81% |
456
48.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1046
6.46 IPS |
|
|
Image Segmentation (F16)
|
100% |
988
6.10 IPS |
|
|
Image Segmentation (I8)
|
89% |
1430
8.84 IPS |
|
|
Pose Estimation (F32)
|
100% |
390
1.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
388
1.57 IPS |
|
|
Pose Estimation (I8)
|
80% |
466
1.88 IPS |
|
|
Object Detection (F32)
|
100% |
1034
36.3 IPS |
|
|
Object Detection (F16)
|
100% |
1029
36.1 IPS |
|
|
Object Detection (I8)
|
52% |
756
26.5 IPS |
|
|
Face Detection (F32)
|
100% |
1276
14.7 IPS |
|
|
Face Detection (F16)
|
100% |
1100
12.6 IPS |
|
|
Face Detection (I8)
|
75% |
1065
12.2 IPS |
|
|
Text Classification (F32)
|
100% |
1055
417.3 IPS |
|
|
Text Classification (F16)
|
100% |
1084
428.8 IPS |
|
|
Machine Translation (F32)
|
100% |
2065
318.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2058
317.2 IPS |
