iPhone 12
Geekbench ML Score
847
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 29 2021 12:09 AM |
| Views | 1 |
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% |
604
64.7 IPS |
|
|
Image Classification (F16)
|
100% |
562
60.2 IPS |
|
|
Image Classification (I8)
|
81% |
419
44.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
904
5.58 IPS |
|
|
Image Segmentation (F16)
|
100% |
854
5.28 IPS |
|
|
Image Segmentation (I8)
|
89% |
1343
8.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
334
1.35 IPS |
|
|
Pose Estimation (F16)
|
100% |
329
1.33 IPS |
|
|
Pose Estimation (I8)
|
80% |
413
1.67 IPS |
|
|
Object Detection (F32)
|
100% |
830
29.1 IPS |
|
|
Object Detection (F16)
|
100% |
836
29.3 IPS |
|
|
Object Detection (I8)
|
52% |
737
25.9 IPS |
|
|
Face Detection (F32)
|
100% |
990
11.4 IPS |
|
|
Face Detection (F16)
|
100% |
965
11.1 IPS |
|
|
Face Detection (I8)
|
75% |
803
9.23 IPS |
|
|
Text Classification (F32)
|
100% |
2418
956.4 IPS |
|
|
Text Classification (F16)
|
100% |
2407
952.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1688
260.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1684
259.5 IPS |
