iPhone 13 mini
Geekbench ML Score
2770
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 15 2024 07:32 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5594
599.4 IPS |
|
|
Image Classification (F16)
|
100% |
5587
598.6 IPS |
|
|
Image Classification (I8)
|
81% |
696
74.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2220
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2176
13.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
1274
7.87 IPS |
|
|
Pose Estimation (F32)
|
100% |
23003
93.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
23301
94.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
241
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
7036
246.9 IPS |
|
|
Object Detection (F16)
|
100% |
7025
246.5 IPS |
|
|
Object Detection (I8)
|
52% |
997
35.0 IPS |
|
|
Face Detection (F32)
|
100% |
8152
93.7 IPS |
|
|
Face Detection (F16)
|
100% |
8064
92.6 IPS |
|
|
Face Detection (I8)
|
75% |
948
10.9 IPS |
|
|
Text Classification (F32)
|
100% |
1105
437.0 IPS |
|
|
Text Classification (F16)
|
100% |
1112
439.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1984
305.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1981
305.3 IPS |
