iPhone 12 Pro
Geekbench ML Score
826
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 15 2021 04:11 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| 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 | 5.57 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
617
66.1 IPS |
|
|
Image Classification (F16)
|
100% |
594
63.7 IPS |
|
|
Image Classification (I8)
|
81% |
416
44.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
913
5.64 IPS |
|
|
Image Segmentation (F16)
|
100% |
882
5.45 IPS |
|
|
Image Segmentation (I8)
|
89% |
1352
8.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
332
1.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
325
1.31 IPS |
|
|
Pose Estimation (I8)
|
80% |
410
1.66 IPS |
|
|
Object Detection (F32)
|
100% |
840
29.5 IPS |
|
|
Object Detection (F16)
|
100% |
840
29.5 IPS |
|
|
Object Detection (I8)
|
52% |
452
15.9 IPS |
|
|
Face Detection (F32)
|
100% |
1050
12.1 IPS |
|
|
Face Detection (F16)
|
100% |
899
10.3 IPS |
|
|
Face Detection (I8)
|
75% |
808
9.28 IPS |
|
|
Text Classification (F32)
|
100% |
2283
903.0 IPS |
|
|
Text Classification (F16)
|
100% |
2337
924.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1673
257.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1693
261.0 IPS |
