iPhone 12
Geekbench ML Score
878
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 11:40 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| Model | iPhone 12 |
| Model ID | iPhone13,2 |
| Motherboard | D53gAP |
| 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 | 3.62 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
616
66.0 IPS |
|
|
Image Classification (F16)
|
100% |
615
65.9 IPS |
|
|
Image Classification (I8)
|
81% |
418
44.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
943
5.83 IPS |
|
|
Image Segmentation (F16)
|
100% |
931
5.75 IPS |
|
|
Image Segmentation (I8)
|
89% |
1360
8.40 IPS |
|
|
Pose Estimation (F32)
|
100% |
356
1.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
350
1.41 IPS |
|
|
Pose Estimation (I8)
|
80% |
433
1.75 IPS |
|
|
Object Detection (F32)
|
100% |
873
30.6 IPS |
|
|
Object Detection (F16)
|
100% |
862
30.2 IPS |
|
|
Object Detection (I8)
|
52% |
738
25.9 IPS |
|
|
Face Detection (F32)
|
100% |
1059
12.2 IPS |
|
|
Face Detection (F16)
|
100% |
1032
11.9 IPS |
|
|
Face Detection (I8)
|
75% |
808
9.29 IPS |
|
|
Text Classification (F32)
|
100% |
2427
959.9 IPS |
|
|
Text Classification (F16)
|
100% |
2442
965.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1703
262.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1688
260.1 IPS |
