iPhone14,2
Geekbench ML Score
715
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 08:06 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 | 1.38 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% |
474
50.7 IPS |
|
|
Image Classification (F16)
|
100% |
474
50.8 IPS |
|
|
Image Classification (I8)
|
81% |
848
90.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
568
3.51 IPS |
|
|
Image Segmentation (F16)
|
100% |
568
3.51 IPS |
|
|
Image Segmentation (I8)
|
89% |
1485
9.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
251
1.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
334
1.35 IPS |
|
|
Pose Estimation (I8)
|
80% |
387
1.57 IPS |
|
|
Object Detection (F32)
|
100% |
710
24.9 IPS |
|
|
Object Detection (F16)
|
100% |
717
25.2 IPS |
|
|
Object Detection (I8)
|
52% |
1130
39.6 IPS |
|
|
Face Detection (F32)
|
100% |
858
9.86 IPS |
|
|
Face Detection (F16)
|
100% |
858
9.85 IPS |
|
|
Face Detection (I8)
|
75% |
1152
13.2 IPS |
|
|
Text Classification (F32)
|
100% |
1190
470.6 IPS |
|
|
Text Classification (F16)
|
100% |
1186
469.0 IPS |
|
|
Machine Translation (F32)
|
100% |
918
141.6 IPS |
|
|
Machine Translation (F16)
|
100% |
922
142.1 IPS |
