iPhone 13 mini
Geekbench ML Score
1826
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | March 10 2022 11:42 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.3.1 |
| 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% |
1173
125.6 IPS |
|
|
Image Classification (F16)
|
100% |
2532
271.2 IPS |
|
|
Image Classification (I8)
|
81% |
640
68.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
5318
32.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
7244
44.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
1094
6.75 IPS |
|
|
Pose Estimation (F32)
|
100% |
1686
6.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
4208
17.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
207
0.84 IPS |
|
|
Object Detection (F32)
|
100% |
1640
57.6 IPS |
|
|
Object Detection (F16)
|
100% |
3021
106.0 IPS |
|
|
Object Detection (I8)
|
52% |
869
30.5 IPS |
|
|
Face Detection (F32)
|
100% |
4823
55.4 IPS |
|
|
Face Detection (F16)
|
97% |
6105
70.1 IPS |
|
|
Face Detection (I8)
|
75% |
823
9.45 IPS |
|
|
Text Classification (F32)
|
100% |
982
388.5 IPS |
|
|
Text Classification (F16)
|
100% |
1999
790.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1981
305.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1968
303.3 IPS |
