iPhone 13 mini
Geekbench ML Score
837
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 12 2023 07:14 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| 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 | 3.57 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
630
67.6 IPS |
|
|
Image Classification (F16)
|
100% |
595
63.8 IPS |
|
|
Image Classification (I8)
|
81% |
399
42.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
950
5.87 IPS |
|
|
Image Segmentation (F16)
|
100% |
924
5.71 IPS |
|
|
Image Segmentation (I8)
|
89% |
1368
8.45 IPS |
|
|
Pose Estimation (F32)
|
100% |
346
1.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
347
1.40 IPS |
|
|
Pose Estimation (I8)
|
80% |
438
1.77 IPS |
|
|
Object Detection (F32)
|
100% |
928
32.6 IPS |
|
|
Object Detection (F16)
|
100% |
942
33.1 IPS |
|
|
Object Detection (I8)
|
52% |
758
26.6 IPS |
|
|
Face Detection (F32)
|
100% |
1179
13.5 IPS |
|
|
Face Detection (F16)
|
100% |
1129
13.0 IPS |
|
|
Face Detection (I8)
|
75% |
834
9.58 IPS |
|
|
Text Classification (F32)
|
100% |
1014
401.1 IPS |
|
|
Text Classification (F16)
|
100% |
1145
452.8 IPS |
|
|
Machine Translation (F32)
|
100% |
2081
320.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2030
312.9 IPS |
