iPhone 13 mini
Geekbench ML Score
875
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 09 2023 07:22 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.2 |
| 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 |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
662
71.0 IPS |
|
|
Image Classification (F16)
|
100% |
691
74.1 IPS |
|
|
Image Classification (I8)
|
81% |
459
49.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1025
6.33 IPS |
|
|
Image Segmentation (F16)
|
100% |
979
6.05 IPS |
|
|
Image Segmentation (I8)
|
89% |
1434
8.86 IPS |
|
|
Pose Estimation (F32)
|
100% |
385
1.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
377
1.52 IPS |
|
|
Pose Estimation (I8)
|
80% |
458
1.85 IPS |
|
|
Object Detection (F32)
|
100% |
981
34.4 IPS |
|
|
Object Detection (F16)
|
100% |
981
34.4 IPS |
|
|
Object Detection (I8)
|
52% |
755
26.5 IPS |
|
|
Face Detection (F32)
|
100% |
1226
14.1 IPS |
|
|
Face Detection (F16)
|
100% |
1183
13.6 IPS |
|
|
Face Detection (I8)
|
75% |
840
9.66 IPS |
|
|
Text Classification (F32)
|
100% |
976
385.9 IPS |
|
|
Text Classification (F16)
|
100% |
1096
433.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2048
315.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2065
318.3 IPS |
