iPhone14,2
Geekbench ML Score
933
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 29 2021 01:39 AM |
| Views | 2 |
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 | 3.21 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% |
781
83.7 IPS |
|
|
Image Classification (F16)
|
100% |
752
80.6 IPS |
|
|
Image Classification (I8)
|
81% |
460
49.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1085
6.70 IPS |
|
|
Image Segmentation (F16)
|
100% |
1064
6.57 IPS |
|
|
Image Segmentation (I8)
|
89% |
1465
9.05 IPS |
|
|
Pose Estimation (F32)
|
100% |
416
1.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
411
1.66 IPS |
|
|
Pose Estimation (I8)
|
80% |
484
1.96 IPS |
|
|
Object Detection (F32)
|
100% |
1061
37.2 IPS |
|
|
Object Detection (F16)
|
100% |
1056
37.1 IPS |
|
|
Object Detection (I8)
|
52% |
741
26.0 IPS |
|
|
Face Detection (F32)
|
100% |
1311
15.1 IPS |
|
|
Face Detection (F16)
|
100% |
1288
14.8 IPS |
|
|
Face Detection (I8)
|
75% |
850
9.77 IPS |
|
|
Text Classification (F32)
|
100% |
1228
485.7 IPS |
|
|
Text Classification (F16)
|
100% |
1257
497.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1964
302.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1978
304.8 IPS |
