iPhone 12 Mini
Geekbench ML Score
862
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 22 2023 01:13 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3 |
| 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 | 3.60 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
631
67.6 IPS |
|
|
Image Classification (F16)
|
100% |
611
65.5 IPS |
|
|
Image Classification (I8)
|
81% |
403
43.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
984
6.08 IPS |
|
|
Image Segmentation (F16)
|
100% |
973
6.01 IPS |
|
|
Image Segmentation (I8)
|
89% |
1369
8.45 IPS |
|
|
Pose Estimation (F32)
|
100% |
363
1.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
353
1.43 IPS |
|
|
Pose Estimation (I8)
|
80% |
439
1.77 IPS |
|
|
Object Detection (F32)
|
100% |
901
31.6 IPS |
|
|
Object Detection (F16)
|
100% |
902
31.7 IPS |
|
|
Object Detection (I8)
|
52% |
697
24.5 IPS |
|
|
Face Detection (F32)
|
100% |
1087
12.5 IPS |
|
|
Face Detection (F16)
|
100% |
1066
12.2 IPS |
|
|
Face Detection (I8)
|
75% |
814
9.35 IPS |
|
|
Text Classification (F32)
|
100% |
1804
713.6 IPS |
|
|
Text Classification (F16)
|
100% |
1936
765.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1690
260.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1677
258.5 IPS |
