iPhone 12 Pro
Geekbench ML Score
882
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 14 2021 07:03 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| 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% |
636
68.1 IPS |
|
|
Image Classification (F16)
|
100% |
614
65.8 IPS |
|
|
Image Classification (I8)
|
81% |
421
45.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
968
5.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
941
5.81 IPS |
|
|
Image Segmentation (I8)
|
89% |
1389
8.58 IPS |
|
|
Pose Estimation (F32)
|
100% |
361
1.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
352
1.43 IPS |
|
|
Pose Estimation (I8)
|
80% |
432
1.75 IPS |
|
|
Object Detection (F32)
|
100% |
880
30.9 IPS |
|
|
Object Detection (F16)
|
100% |
876
30.7 IPS |
|
|
Object Detection (I8)
|
52% |
712
25.0 IPS |
|
|
Face Detection (F32)
|
100% |
1082
12.4 IPS |
|
|
Face Detection (F16)
|
100% |
1052
12.1 IPS |
|
|
Face Detection (I8)
|
75% |
812
9.32 IPS |
|
|
Text Classification (F32)
|
100% |
2413
954.4 IPS |
|
|
Text Classification (F16)
|
100% |
2331
922.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1685
259.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1678
258.5 IPS |
