iPhone 12 Pro
Geekbench ML Score
915
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 03 2023 06:17 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1 |
| 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 | 5.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
715
76.6 IPS |
|
|
Image Classification (F16)
|
100% |
673
72.1 IPS |
|
|
Image Classification (I8)
|
81% |
411
44.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1004
6.20 IPS |
|
|
Image Segmentation (F16)
|
100% |
977
6.04 IPS |
|
|
Image Segmentation (I8)
|
89% |
1387
8.57 IPS |
|
|
Pose Estimation (F32)
|
100% |
357
1.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
359
1.45 IPS |
|
|
Pose Estimation (I8)
|
80% |
424
1.72 IPS |
|
|
Object Detection (F32)
|
100% |
903
31.7 IPS |
|
|
Object Detection (F16)
|
100% |
909
31.9 IPS |
|
|
Object Detection (I8)
|
52% |
706
24.8 IPS |
|
|
Face Detection (F32)
|
100% |
1104
12.7 IPS |
|
|
Face Detection (F16)
|
100% |
1091
12.5 IPS |
|
|
Face Detection (I8)
|
75% |
817
9.38 IPS |
|
|
Text Classification (F32)
|
100% |
2757
1.09 KIPS |
|
|
Text Classification (F16)
|
100% |
2770
1.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
1706
263.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1707
263.1 IPS |
