iPhone 12
Geekbench ML Score
867
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 14 2021 07:05 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.1 |
| 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% |
614
65.7 IPS |
|
|
Image Classification (F16)
|
100% |
591
63.3 IPS |
|
|
Image Classification (I8)
|
81% |
420
45.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
937
5.79 IPS |
|
|
Image Segmentation (F16)
|
100% |
916
5.66 IPS |
|
|
Image Segmentation (I8)
|
89% |
1379
8.52 IPS |
|
|
Pose Estimation (F32)
|
100% |
346
1.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
347
1.40 IPS |
|
|
Pose Estimation (I8)
|
80% |
426
1.72 IPS |
|
|
Object Detection (F32)
|
100% |
858
30.1 IPS |
|
|
Object Detection (F16)
|
100% |
864
30.3 IPS |
|
|
Object Detection (I8)
|
52% |
721
25.3 IPS |
|
|
Face Detection (F32)
|
100% |
1050
12.1 IPS |
|
|
Face Detection (F16)
|
100% |
1023
11.8 IPS |
|
|
Face Detection (I8)
|
75% |
806
9.26 IPS |
|
|
Text Classification (F32)
|
100% |
2347
928.1 IPS |
|
|
Text Classification (F16)
|
100% |
2383
942.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1691
260.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1680
259.0 IPS |
