iPhone 13 mini
Geekbench ML Score
928
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 03 2023 04:28 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0.2 |
| 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 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
785
84.1 IPS |
|
|
Image Classification (F16)
|
100% |
758
81.2 IPS |
|
|
Image Classification (I8)
|
81% |
465
49.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1107
6.84 IPS |
|
|
Image Segmentation (F16)
|
100% |
1077
6.65 IPS |
|
|
Image Segmentation (I8)
|
89% |
1441
8.90 IPS |
|
|
Pose Estimation (F32)
|
100% |
409
1.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
408
1.65 IPS |
|
|
Pose Estimation (I8)
|
80% |
484
1.96 IPS |
|
|
Object Detection (F32)
|
100% |
1081
38.0 IPS |
|
|
Object Detection (F16)
|
100% |
1097
38.5 IPS |
|
|
Object Detection (I8)
|
52% |
785
27.5 IPS |
|
|
Face Detection (F32)
|
100% |
1322
15.2 IPS |
|
|
Face Detection (F16)
|
100% |
1279
14.7 IPS |
|
|
Face Detection (I8)
|
75% |
853
9.81 IPS |
|
|
Text Classification (F32)
|
100% |
1078
426.4 IPS |
|
|
Text Classification (F16)
|
100% |
1036
409.9 IPS |
|
|
Machine Translation (F32)
|
100% |
2052
316.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2063
318.0 IPS |
