iPhone14,2
Geekbench ML Score
2249
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 10:58 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1 |
| Model | iPhone14,2 |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| 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 | 5.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2865
306.9 IPS |
|
|
Image Classification (F16)
|
100% |
4439
475.6 IPS |
|
|
Image Classification (I8)
|
81% |
697
74.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
5874
36.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
8089
50.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
1261
7.79 IPS |
|
|
Pose Estimation (F32)
|
100% |
1916
7.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
4888
19.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
240
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
3085
108.3 IPS |
|
|
Object Detection (F16)
|
100% |
3216
112.9 IPS |
|
|
Object Detection (I8)
|
52% |
989
34.7 IPS |
|
|
Face Detection (F32)
|
100% |
5202
59.8 IPS |
|
|
Face Detection (F16)
|
97% |
9350
107.4 IPS |
|
|
Face Detection (I8)
|
75% |
957
11.0 IPS |
|
|
Text Classification (F32)
|
100% |
1526
603.7 IPS |
|
|
Text Classification (F16)
|
100% |
1533
606.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1957
301.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1965
302.8 IPS |
