iPhone14,3
Geekbench ML Score
960
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 21 2021 05:43 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1 |
| Model | iPhone14,3 |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| 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 |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
788
84.5 IPS |
|
|
Image Classification (F16)
|
100% |
773
82.8 IPS |
|
|
Image Classification (I8)
|
81% |
462
49.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1147
7.09 IPS |
|
|
Image Segmentation (F16)
|
100% |
1130
6.98 IPS |
|
|
Image Segmentation (I8)
|
89% |
1485
9.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
448
1.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
441
1.78 IPS |
|
|
Pose Estimation (I8)
|
80% |
506
2.05 IPS |
|
|
Object Detection (F32)
|
100% |
1139
40.0 IPS |
|
|
Object Detection (F16)
|
100% |
1140
40.0 IPS |
|
|
Object Detection (I8)
|
52% |
771
27.1 IPS |
|
|
Face Detection (F32)
|
100% |
1362
15.6 IPS |
|
|
Face Detection (F16)
|
100% |
1335
15.3 IPS |
|
|
Face Detection (I8)
|
75% |
853
9.80 IPS |
|
|
Text Classification (F32)
|
100% |
1142
451.8 IPS |
|
|
Text Classification (F16)
|
100% |
1243
491.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1970
303.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1974
304.2 IPS |
