iPhone 12 Pro Max
Geekbench ML Score
2629
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 14 2023 03:25 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| 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 | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6223
666.7 IPS |
|
|
Image Classification (F16)
|
100% |
6043
647.5 IPS |
|
|
Image Classification (I8)
|
81% |
633
67.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2046
12.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2111
13.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
1123
6.93 IPS |
|
|
Pose Estimation (F32)
|
100% |
18427
74.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
17927
72.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
219
0.89 IPS |
|
|
Object Detection (F32)
|
100% |
6745
236.7 IPS |
|
|
Object Detection (F16)
|
100% |
6659
233.7 IPS |
|
|
Object Detection (I8)
|
52% |
907
31.8 IPS |
|
|
Face Detection (F32)
|
100% |
7634
87.7 IPS |
|
|
Face Detection (F16)
|
100% |
7665
88.1 IPS |
|
|
Face Detection (I8)
|
75% |
878
10.1 IPS |
|
|
Text Classification (F32)
|
100% |
1374
543.3 IPS |
|
|
Text Classification (F16)
|
100% |
1381
546.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1697
261.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1693
260.9 IPS |
