iPhone 12 Mini
Geekbench ML Score
2570
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 04 2023 09:09 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0.3 |
| Model | iPhone 12 Mini |
| Model ID | iPhone13,1 |
| Motherboard | D52gAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 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 | 3.59 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5949
637.4 IPS |
|
|
Image Classification (F16)
|
100% |
6000
642.8 IPS |
|
|
Image Classification (I8)
|
81% |
641
68.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2062
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2035
12.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
1112
6.87 IPS |
|
|
Pose Estimation (F32)
|
100% |
18870
76.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
17450
70.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
220
0.89 IPS |
|
|
Object Detection (F32)
|
100% |
7260
254.8 IPS |
|
|
Object Detection (F16)
|
100% |
7165
251.5 IPS |
|
|
Object Detection (I8)
|
52% |
920
32.3 IPS |
|
|
Face Detection (F32)
|
100% |
7434
85.4 IPS |
|
|
Face Detection (F16)
|
100% |
7487
86.0 IPS |
|
|
Face Detection (I8)
|
75% |
848
9.74 IPS |
|
|
Text Classification (F32)
|
100% |
1130
446.9 IPS |
|
|
Text Classification (F16)
|
100% |
1108
438.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1685
259.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1679
258.8 IPS |
