iPhone14,3
Geekbench ML Score
943
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 23 2021 10:11 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| Model | iPhone14,3 |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| 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 | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
789
84.6 IPS |
|
|
Image Classification (F16)
|
100% |
756
81.0 IPS |
|
|
Image Classification (I8)
|
81% |
464
49.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1113
6.88 IPS |
|
|
Image Segmentation (F16)
|
100% |
1074
6.64 IPS |
|
|
Image Segmentation (I8)
|
89% |
1486
9.18 IPS |
|
|
Pose Estimation (F32)
|
100% |
438
1.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
433
1.75 IPS |
|
|
Pose Estimation (I8)
|
80% |
491
1.99 IPS |
|
|
Object Detection (F32)
|
100% |
1096
38.5 IPS |
|
|
Object Detection (F16)
|
100% |
1104
38.8 IPS |
|
|
Object Detection (I8)
|
52% |
758
26.6 IPS |
|
|
Face Detection (F32)
|
100% |
1326
15.2 IPS |
|
|
Face Detection (F16)
|
100% |
1304
15.0 IPS |
|
|
Face Detection (I8)
|
75% |
855
9.82 IPS |
|
|
Text Classification (F32)
|
100% |
1118
442.0 IPS |
|
|
Text Classification (F16)
|
100% |
1237
489.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1968
303.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1968
303.3 IPS |
