iPhone14,4
Geekbench ML Score
1816
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| User | TK-421 |
| Upload Date | October 21 2021 07:04 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| Model | iPhone14,4 |
| Model ID | iPhone14,4 |
| Motherboard | D16AP |
| 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 | 3.61 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1447
155.0 IPS |
|
|
Image Classification (F16)
|
100% |
2451
262.6 IPS |
|
|
Image Classification (I8)
|
81% |
697
74.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
5238
32.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
7134
44.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
1221
7.54 IPS |
|
|
Pose Estimation (F32)
|
100% |
1773
7.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
4225
17.1 IPS |
|
|
Pose Estimation (I8)
|
80% |
230
0.93 IPS |
|
|
Object Detection (F32)
|
100% |
1622
56.9 IPS |
|
|
Object Detection (F16)
|
100% |
3125
109.7 IPS |
|
|
Object Detection (I8)
|
52% |
955
33.5 IPS |
|
|
Face Detection (F32)
|
100% |
4872
56.0 IPS |
|
|
Face Detection (F16)
|
97% |
5815
66.8 IPS |
|
|
Face Detection (I8)
|
75% |
915
10.5 IPS |
|
|
Text Classification (F32)
|
100% |
955
377.6 IPS |
|
|
Text Classification (F16)
|
100% |
933
369.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1970
303.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1966
303.0 IPS |
