iPhone 13 mini
Geekbench ML Score
1929
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 15 2024 07:25 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1.1 |
| Model | iPhone 13 mini |
| Model ID | iPhone14,4 |
| Motherboard | D16AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| 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% |
1334
142.9 IPS |
|
|
Image Classification (F16)
|
100% |
2555
273.7 IPS |
|
|
Image Classification (I8)
|
81% |
696
74.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
5171
31.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
7250
44.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
1273
7.87 IPS |
|
|
Pose Estimation (F32)
|
100% |
1770
7.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
4228
17.1 IPS |
|
|
Pose Estimation (I8)
|
80% |
241
0.98 IPS |
|
|
Object Detection (F32)
|
100% |
2053
72.0 IPS |
|
|
Object Detection (F16)
|
100% |
3103
108.9 IPS |
|
|
Object Detection (I8)
|
52% |
994
34.9 IPS |
|
|
Face Detection (F32)
|
100% |
4844
55.7 IPS |
|
|
Face Detection (F16)
|
97% |
5827
66.9 IPS |
|
|
Face Detection (I8)
|
75% |
970
11.1 IPS |
|
|
Text Classification (F32)
|
100% |
970
383.7 IPS |
|
|
Text Classification (F16)
|
100% |
2003
792.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1959
301.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1959
301.9 IPS |
