iPhone 12 Pro
Geekbench ML Score
814
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 25 2021 04:44 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1.1 |
| 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% |
566
60.6 IPS |
|
|
Image Classification (F16)
|
100% |
528
56.6 IPS |
|
|
Image Classification (I8)
|
81% |
411
44.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
853
5.27 IPS |
|
|
Image Segmentation (F16)
|
100% |
817
5.05 IPS |
|
|
Image Segmentation (I8)
|
89% |
1310
8.09 IPS |
|
|
Pose Estimation (F32)
|
100% |
315
1.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
304
1.23 IPS |
|
|
Pose Estimation (I8)
|
80% |
394
1.59 IPS |
|
|
Object Detection (F32)
|
100% |
789
27.7 IPS |
|
|
Object Detection (F16)
|
100% |
788
27.7 IPS |
|
|
Object Detection (I8)
|
52% |
723
25.4 IPS |
|
|
Face Detection (F32)
|
100% |
867
9.96 IPS |
|
|
Face Detection (F16)
|
100% |
907
10.4 IPS |
|
|
Face Detection (I8)
|
75% |
925
10.6 IPS |
|
|
Text Classification (F32)
|
100% |
2277
900.7 IPS |
|
|
Text Classification (F16)
|
100% |
2276
900.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1680
259.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1669
257.2 IPS |
