iPhone 12 Pro
Geekbench ML Score
832
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 14 2022 11:49 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.3 |
| Model | iPhone 12 Pro |
| Model ID | iPhone13,3 |
| Motherboard | D53pAP |
| 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 | 5.60 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
592
63.4 IPS |
|
|
Image Classification (F16)
|
100% |
577
61.8 IPS |
|
|
Image Classification (I8)
|
81% |
396
42.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
939
5.80 IPS |
|
|
Image Segmentation (F16)
|
100% |
892
5.51 IPS |
|
|
Image Segmentation (I8)
|
89% |
1344
8.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
332
1.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
325
1.31 IPS |
|
|
Pose Estimation (I8)
|
80% |
412
1.67 IPS |
|
|
Object Detection (F32)
|
100% |
819
28.7 IPS |
|
|
Object Detection (F16)
|
100% |
833
29.2 IPS |
|
|
Object Detection (I8)
|
52% |
674
23.7 IPS |
|
|
Face Detection (F32)
|
100% |
1031
11.8 IPS |
|
|
Face Detection (F16)
|
100% |
996
11.4 IPS |
|
|
Face Detection (I8)
|
75% |
803
9.22 IPS |
|
|
Text Classification (F32)
|
100% |
1982
783.8 IPS |
|
|
Text Classification (F16)
|
100% |
2115
836.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1686
259.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1686
259.8 IPS |
