iPhone 12 Mini
Geekbench ML Score
698
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for iOS AArch64
Result Information
| Upload Date | May 11 2021 12:21 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.5.1 |
| 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 | 3.64 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
479
51.3 IPS |
|
|
Image Classification (F16)
|
100% |
369
39.5 IPS |
|
|
Image Classification (I8)
|
81% |
548
58.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
624
3.86 IPS |
|
|
Image Segmentation (F16)
|
100% |
651
4.02 IPS |
|
|
Image Segmentation (I8)
|
89% |
1294
7.99 IPS |
|
|
Pose Estimation (F32)
|
100% |
268
1.09 IPS |
|
|
Pose Estimation (F16)
|
100% |
234
0.95 IPS |
|
|
Pose Estimation (I8)
|
80% |
354
1.43 IPS |
|
|
Object Detection (F32)
|
100% |
491
17.2 IPS |
|
|
Object Detection (F16)
|
100% |
566
19.9 IPS |
|
|
Object Detection (I8)
|
52% |
563
19.7 IPS |
|
|
Face Detection (F32)
|
100% |
715
8.21 IPS |
|
|
Face Detection (F16)
|
100% |
675
7.75 IPS |
|
|
Face Detection (I8)
|
75% |
946
10.9 IPS |
|
|
Text Classification (F32)
|
100% |
2059
814.3 IPS |
|
|
Text Classification (F16)
|
100% |
2293
906.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1692
260.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1686
259.8 IPS |
