iPhone 12 Pro Max
Geekbench ML Score
2575
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 08 2022 06:35 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.2 |
| 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 | Core ML |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6260
670.7 IPS |
|
|
Image Classification (F16)
|
100% |
6256
670.3 IPS |
|
|
Image Classification (I8)
|
81% |
641
68.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1821
11.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1785
11.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
1158
7.15 IPS |
|
|
Pose Estimation (F32)
|
100% |
19471
78.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
19685
79.7 IPS |
|
|
Pose Estimation (I8)
|
80% |
218
0.88 IPS |
|
|
Object Detection (F32)
|
100% |
7280
255.5 IPS |
|
|
Object Detection (F16)
|
100% |
7300
256.2 IPS |
|
|
Object Detection (I8)
|
52% |
872
30.6 IPS |
|
|
Face Detection (F32)
|
100% |
7601
87.3 IPS |
|
|
Face Detection (F16)
|
100% |
7476
85.9 IPS |
|
|
Face Detection (I8)
|
75% |
872
10.0 IPS |
|
|
Text Classification (F32)
|
100% |
1112
439.7 IPS |
|
|
Text Classification (F16)
|
100% |
1100
435.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1694
261.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1699
261.9 IPS |
