iPhone 12 Pro Max
Geekbench ML Score
863
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 30 2023 11:47 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.5 |
| 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 | 5.54 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
618
66.2 IPS |
|
|
Image Classification (F16)
|
100% |
585
62.7 IPS |
|
|
Image Classification (I8)
|
81% |
419
44.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
981
6.06 IPS |
|
|
Image Segmentation (F16)
|
100% |
964
5.96 IPS |
|
|
Image Segmentation (I8)
|
89% |
1404
8.67 IPS |
|
|
Pose Estimation (F32)
|
100% |
358
1.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
357
1.44 IPS |
|
|
Pose Estimation (I8)
|
80% |
436
1.76 IPS |
|
|
Object Detection (F32)
|
100% |
891
31.3 IPS |
|
|
Object Detection (F16)
|
100% |
897
31.5 IPS |
|
|
Object Detection (I8)
|
52% |
726
25.5 IPS |
|
|
Face Detection (F32)
|
100% |
1069
12.3 IPS |
|
|
Face Detection (F16)
|
100% |
1054
12.1 IPS |
|
|
Face Detection (I8)
|
75% |
817
9.38 IPS |
|
|
Text Classification (F32)
|
100% |
1932
764.3 IPS |
|
|
Text Classification (F16)
|
100% |
1949
770.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1655
255.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1644
253.3 IPS |
