iPhone 13 mini
Geekbench ML Score
2873
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 03 2023 03:47 AM |
| Views | 3 |
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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6479
694.2 IPS |
|
|
Image Classification (F16)
|
100% |
6220
666.4 IPS |
|
|
Image Classification (I8)
|
81% |
683
73.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2118
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2163
13.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
1139
7.03 IPS |
|
|
Pose Estimation (F32)
|
100% |
24385
98.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
25812
104.4 IPS |
|
|
Pose Estimation (I8)
|
80% |
231
0.93 IPS |
|
|
Object Detection (F32)
|
100% |
7325
257.1 IPS |
|
|
Object Detection (F16)
|
100% |
7547
264.8 IPS |
|
|
Object Detection (I8)
|
52% |
938
32.9 IPS |
|
|
Face Detection (F32)
|
100% |
8993
103.3 IPS |
|
|
Face Detection (F16)
|
100% |
8961
103.0 IPS |
|
|
Face Detection (I8)
|
75% |
903
10.4 IPS |
|
|
Text Classification (F32)
|
100% |
1240
490.5 IPS |
|
|
Text Classification (F16)
|
100% |
1219
482.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2078
320.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2076
320.0 IPS |
