iPhone 12 Pro Max
Geekbench ML Score
740
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 15 2021 09:20 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.7.1 |
| Model | iPhone 12 Pro Max |
| Model ID | iPhone13,4 |
| Motherboard | D54pAP |
| 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 | 5.58 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
633
67.8 IPS |
|
|
Image Classification (F16)
|
100% |
627
67.2 IPS |
|
|
Image Classification (I8)
|
81% |
293
31.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
975
6.02 IPS |
|
|
Image Segmentation (F16)
|
100% |
956
5.90 IPS |
|
|
Image Segmentation (I8)
|
89% |
1306
8.07 IPS |
|
|
Pose Estimation (F32)
|
100% |
337
1.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
331
1.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
434
1.76 IPS |
|
|
Object Detection (F32)
|
100% |
946
33.2 IPS |
|
|
Object Detection (F16)
|
100% |
946
33.2 IPS |
|
|
Object Detection (I8)
|
52% |
516
18.1 IPS |
|
|
Face Detection (F32)
|
100% |
1131
13.0 IPS |
|
|
Face Detection (F16)
|
100% |
1094
12.6 IPS |
|
|
Face Detection (I8)
|
75% |
716
8.22 IPS |
|
|
Text Classification (F32)
|
100% |
688
272.2 IPS |
|
|
Text Classification (F16)
|
100% |
598
236.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1706
262.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1708
263.2 IPS |
