iPhone 12 Mini
Geekbench ML Score
717
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | May 26 2021 08:48 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| 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 | 3.63 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
658
70.5 IPS |
|
|
Image Classification (F16)
|
100% |
640
68.6 IPS |
|
|
Image Classification (I8)
|
81% |
242
25.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
975
6.02 IPS |
|
|
Image Segmentation (F16)
|
100% |
944
5.83 IPS |
|
|
Image Segmentation (I8)
|
89% |
1278
7.89 IPS |
|
|
Pose Estimation (F32)
|
100% |
324
1.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
317
1.28 IPS |
|
|
Pose Estimation (I8)
|
80% |
408
1.65 IPS |
|
|
Object Detection (F32)
|
100% |
898
31.5 IPS |
|
|
Object Detection (F16)
|
100% |
898
31.5 IPS |
|
|
Object Detection (I8)
|
52% |
450
15.8 IPS |
|
|
Face Detection (F32)
|
100% |
1105
12.7 IPS |
|
|
Face Detection (F16)
|
100% |
1060
12.2 IPS |
|
|
Face Detection (I8)
|
75% |
692
7.95 IPS |
|
|
Text Classification (F32)
|
100% |
596
235.5 IPS |
|
|
Text Classification (F16)
|
100% |
703
278.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1717
264.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1716
264.5 IPS |
