iPhone 13 mini
Geekbench ML Score
926
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 10 2025 01:30 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.7.1 |
| 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 | 3.57 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
800
85.7 IPS |
|
|
Image Classification (F16)
|
100% |
765
81.9 IPS |
|
|
Image Classification (I8)
|
81% |
465
49.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1141
7.05 IPS |
|
|
Image Segmentation (F16)
|
100% |
1091
6.74 IPS |
|
|
Image Segmentation (I8)
|
89% |
1477
9.12 IPS |
|
|
Pose Estimation (F32)
|
100% |
420
1.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
416
1.68 IPS |
|
|
Pose Estimation (I8)
|
80% |
483
1.95 IPS |
|
|
Object Detection (F32)
|
100% |
1086
38.1 IPS |
|
|
Object Detection (F16)
|
100% |
1089
38.2 IPS |
|
|
Object Detection (I8)
|
52% |
751
26.4 IPS |
|
|
Face Detection (F32)
|
100% |
1333
15.3 IPS |
|
|
Face Detection (F16)
|
100% |
1298
14.9 IPS |
|
|
Face Detection (I8)
|
75% |
851
9.78 IPS |
|
|
Text Classification (F32)
|
100% |
1027
406.3 IPS |
|
|
Text Classification (F16)
|
100% |
1032
408.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1960
302.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1955
301.3 IPS |
