iPhone 12 Mini
Geekbench ML Score
870
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 08 2023 06:11 AM |
| Views | 3 |
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% |
622
66.6 IPS |
|
|
Image Classification (F16)
|
100% |
611
65.4 IPS |
|
|
Image Classification (I8)
|
81% |
399
42.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
993
6.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
977
6.03 IPS |
|
|
Image Segmentation (I8)
|
89% |
1370
8.46 IPS |
|
|
Pose Estimation (F32)
|
100% |
370
1.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
360
1.46 IPS |
|
|
Pose Estimation (I8)
|
80% |
440
1.78 IPS |
|
|
Object Detection (F32)
|
100% |
886
31.1 IPS |
|
|
Object Detection (F16)
|
100% |
900
31.6 IPS |
|
|
Object Detection (I8)
|
52% |
722
25.3 IPS |
|
|
Face Detection (F32)
|
100% |
1091
12.5 IPS |
|
|
Face Detection (F16)
|
100% |
1066
12.2 IPS |
|
|
Face Detection (I8)
|
75% |
816
9.37 IPS |
|
|
Text Classification (F32)
|
100% |
1831
724.3 IPS |
|
|
Text Classification (F16)
|
100% |
2127
841.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1690
260.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1678
258.7 IPS |
