iPhone 12
Geekbench ML Score
883
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 23 2021 06:51 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| 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% |
647
69.3 IPS |
|
|
Image Classification (F16)
|
100% |
615
65.9 IPS |
|
|
Image Classification (I8)
|
81% |
404
43.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
968
5.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
943
5.82 IPS |
|
|
Image Segmentation (I8)
|
89% |
1405
8.68 IPS |
|
|
Pose Estimation (F32)
|
100% |
361
1.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
360
1.46 IPS |
|
|
Pose Estimation (I8)
|
80% |
439
1.78 IPS |
|
|
Object Detection (F32)
|
100% |
875
30.7 IPS |
|
|
Object Detection (F16)
|
100% |
889
31.2 IPS |
|
|
Object Detection (I8)
|
52% |
729
25.6 IPS |
|
|
Face Detection (F32)
|
100% |
1085
12.5 IPS |
|
|
Face Detection (F16)
|
100% |
1071
12.3 IPS |
|
|
Face Detection (I8)
|
75% |
810
9.31 IPS |
|
|
Text Classification (F32)
|
100% |
2271
898.3 IPS |
|
|
Text Classification (F16)
|
100% |
2325
919.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1686
259.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1683
259.4 IPS |
