iPhone 12
Geekbench ML Score
870
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 11 2021 03:32 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| 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% |
631
67.6 IPS |
|
|
Image Classification (F16)
|
100% |
610
65.3 IPS |
|
|
Image Classification (I8)
|
81% |
448
48.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
932
5.76 IPS |
|
|
Image Segmentation (F16)
|
100% |
895
5.53 IPS |
|
|
Image Segmentation (I8)
|
89% |
1388
8.57 IPS |
|
|
Pose Estimation (F32)
|
100% |
350
1.42 IPS |
|
|
Pose Estimation (F16)
|
100% |
341
1.38 IPS |
|
|
Pose Estimation (I8)
|
80% |
423
1.71 IPS |
|
|
Object Detection (F32)
|
100% |
836
29.3 IPS |
|
|
Object Detection (F16)
|
100% |
847
29.7 IPS |
|
|
Object Detection (I8)
|
52% |
756
26.5 IPS |
|
|
Face Detection (F32)
|
100% |
1037
11.9 IPS |
|
|
Face Detection (F16)
|
100% |
1009
11.6 IPS |
|
|
Face Detection (I8)
|
75% |
809
9.30 IPS |
|
|
Text Classification (F32)
|
100% |
2369
937.2 IPS |
|
|
Text Classification (F16)
|
100% |
2340
925.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1676
258.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1673
257.8 IPS |
