iPhone 12 Mini
Geekbench ML Score
871
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 13 2021 04:58 AM |
| Views | 2 |
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% |
626
67.0 IPS |
|
|
Image Classification (F16)
|
100% |
620
66.4 IPS |
|
|
Image Classification (I8)
|
81% |
426
45.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
953
5.89 IPS |
|
|
Image Segmentation (F16)
|
100% |
937
5.79 IPS |
|
|
Image Segmentation (I8)
|
89% |
1400
8.65 IPS |
|
|
Pose Estimation (F32)
|
100% |
353
1.43 IPS |
|
|
Pose Estimation (F16)
|
100% |
346
1.40 IPS |
|
|
Pose Estimation (I8)
|
80% |
428
1.73 IPS |
|
|
Object Detection (F32)
|
100% |
888
31.2 IPS |
|
|
Object Detection (F16)
|
100% |
894
31.4 IPS |
|
|
Object Detection (I8)
|
52% |
733
25.7 IPS |
|
|
Face Detection (F32)
|
100% |
1068
12.3 IPS |
|
|
Face Detection (F16)
|
100% |
1040
12.0 IPS |
|
|
Face Detection (I8)
|
75% |
806
9.26 IPS |
|
|
Text Classification (F32)
|
100% |
2248
889.2 IPS |
|
|
Text Classification (F16)
|
100% |
2020
798.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1699
261.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1704
262.6 IPS |
