iPhone 12 Mini
Geekbench ML Score
626
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 23 2022 08:13 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
396
42.4 IPS |
|
|
Image Classification (F16)
|
100% |
382
40.9 IPS |
|
|
Image Classification (I8)
|
81% |
771
82.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
504
3.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
500
3.09 IPS |
|
|
Image Segmentation (I8)
|
89% |
1226
7.57 IPS |
|
|
Pose Estimation (F32)
|
100% |
243
0.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
299
1.21 IPS |
|
|
Pose Estimation (I8)
|
80% |
358
1.45 IPS |
|
|
Object Detection (F32)
|
100% |
625
21.9 IPS |
|
|
Object Detection (F16)
|
100% |
620
21.8 IPS |
|
|
Object Detection (I8)
|
52% |
942
33.1 IPS |
|
|
Face Detection (F32)
|
100% |
737
8.46 IPS |
|
|
Face Detection (F16)
|
100% |
735
8.44 IPS |
|
|
Face Detection (I8)
|
75% |
939
10.8 IPS |
|
|
Text Classification (F32)
|
100% |
1118
442.1 IPS |
|
|
Text Classification (F16)
|
100% |
1096
433.7 IPS |
|
|
Machine Translation (F32)
|
100% |
803
123.8 IPS |
|
|
Machine Translation (F16)
|
100% |
797
122.8 IPS |
