iPhone 12 Mini
Geekbench ML Score
849
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 03 2023 05:43 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.2 |
| 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% |
659
70.6 IPS |
|
|
Image Classification (F16)
|
100% |
622
66.6 IPS |
|
|
Image Classification (I8)
|
81% |
397
42.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
973
6.01 IPS |
|
|
Image Segmentation (F16)
|
100% |
929
5.74 IPS |
|
|
Image Segmentation (I8)
|
89% |
1365
8.43 IPS |
|
|
Pose Estimation (F32)
|
100% |
337
1.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
332
1.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
430
1.74 IPS |
|
|
Object Detection (F32)
|
100% |
879
30.8 IPS |
|
|
Object Detection (F16)
|
100% |
890
31.2 IPS |
|
|
Object Detection (I8)
|
52% |
718
25.2 IPS |
|
|
Face Detection (F32)
|
100% |
1069
12.3 IPS |
|
|
Face Detection (F16)
|
100% |
1050
12.1 IPS |
|
|
Face Detection (I8)
|
75% |
811
9.31 IPS |
|
|
Text Classification (F32)
|
100% |
1846
730.2 IPS |
|
|
Text Classification (F16)
|
100% |
1722
681.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1704
262.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1703
262.4 IPS |
