iPhone14,2
Geekbench ML Score
936
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 08:09 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| Model | iPhone14,2 |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| 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 | 5.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
782
83.8 IPS |
|
|
Image Classification (F16)
|
100% |
758
81.2 IPS |
|
|
Image Classification (I8)
|
81% |
463
49.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1088
6.72 IPS |
|
|
Image Segmentation (F16)
|
100% |
1059
6.54 IPS |
|
|
Image Segmentation (I8)
|
89% |
1482
9.15 IPS |
|
|
Pose Estimation (F32)
|
100% |
425
1.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
418
1.69 IPS |
|
|
Pose Estimation (I8)
|
80% |
486
1.96 IPS |
|
|
Object Detection (F32)
|
100% |
1064
37.3 IPS |
|
|
Object Detection (F16)
|
100% |
1071
37.6 IPS |
|
|
Object Detection (I8)
|
52% |
783
27.5 IPS |
|
|
Face Detection (F32)
|
100% |
1306
15.0 IPS |
|
|
Face Detection (F16)
|
100% |
1287
14.8 IPS |
|
|
Face Detection (I8)
|
75% |
857
9.84 IPS |
|
|
Text Classification (F32)
|
100% |
1132
447.8 IPS |
|
|
Text Classification (F16)
|
100% |
1283
507.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1955
301.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1957
301.6 IPS |
