iPhone 12 Mini
Geekbench ML Score
880
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 13 2021 04:50 AM |
| 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% |
646
69.3 IPS |
|
|
Image Classification (F16)
|
100% |
631
67.7 IPS |
|
|
Image Classification (I8)
|
81% |
434
46.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
958
5.92 IPS |
|
|
Image Segmentation (F16)
|
100% |
935
5.78 IPS |
|
|
Image Segmentation (I8)
|
89% |
1382
8.54 IPS |
|
|
Pose Estimation (F32)
|
100% |
353
1.43 IPS |
|
|
Pose Estimation (F16)
|
100% |
348
1.41 IPS |
|
|
Pose Estimation (I8)
|
80% |
427
1.73 IPS |
|
|
Object Detection (F32)
|
100% |
874
30.7 IPS |
|
|
Object Detection (F16)
|
100% |
906
31.8 IPS |
|
|
Object Detection (I8)
|
52% |
736
25.8 IPS |
|
|
Face Detection (F32)
|
100% |
1075
12.4 IPS |
|
|
Face Detection (F16)
|
100% |
1049
12.0 IPS |
|
|
Face Detection (I8)
|
75% |
807
9.27 IPS |
|
|
Text Classification (F32)
|
100% |
2316
916.1 IPS |
|
|
Text Classification (F16)
|
100% |
2235
884.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1691
260.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1687
260.0 IPS |
