iPhone14,4
Geekbench ML Score
1821
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 17 2021 12:49 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| 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% |
1361
145.8 IPS |
|
|
Image Classification (F16)
|
100% |
2629
281.7 IPS |
|
|
Image Classification (I8)
|
81% |
667
71.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
5318
32.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
7366
45.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
1135
7.01 IPS |
|
|
Pose Estimation (F32)
|
100% |
1770
7.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
4218
17.1 IPS |
|
|
Pose Estimation (I8)
|
80% |
217
0.88 IPS |
|
|
Object Detection (F32)
|
100% |
1615
56.7 IPS |
|
|
Object Detection (F16)
|
100% |
3203
112.4 IPS |
|
|
Object Detection (I8)
|
52% |
913
32.0 IPS |
|
|
Face Detection (F32)
|
100% |
4860
55.8 IPS |
|
|
Face Detection (F16)
|
97% |
6323
72.6 IPS |
|
|
Face Detection (I8)
|
75% |
856
9.83 IPS |
|
|
Text Classification (F32)
|
100% |
970
383.6 IPS |
|
|
Text Classification (F16)
|
100% |
1085
429.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1992
307.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1983
305.6 IPS |
