iPhone 12 Mini
Geekbench ML Score
808
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 13 2023 08:57 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6 |
| 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 | 3.60 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
589
63.2 IPS |
|
|
Image Classification (F16)
|
100% |
549
58.8 IPS |
|
|
Image Classification (I8)
|
81% |
404
43.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
893
5.52 IPS |
|
|
Image Segmentation (F16)
|
100% |
841
5.19 IPS |
|
|
Image Segmentation (I8)
|
89% |
1337
8.26 IPS |
|
|
Pose Estimation (F32)
|
100% |
321
1.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
316
1.28 IPS |
|
|
Pose Estimation (I8)
|
80% |
399
1.62 IPS |
|
|
Object Detection (F32)
|
100% |
790
27.7 IPS |
|
|
Object Detection (F16)
|
100% |
792
27.8 IPS |
|
|
Object Detection (I8)
|
52% |
731
25.6 IPS |
|
|
Face Detection (F32)
|
100% |
956
11.0 IPS |
|
|
Face Detection (F16)
|
100% |
925
10.6 IPS |
|
|
Face Detection (I8)
|
75% |
873
10.0 IPS |
|
|
Text Classification (F32)
|
100% |
1830
723.7 IPS |
|
|
Text Classification (F16)
|
100% |
1796
710.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1697
261.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1691
260.7 IPS |
