iPhone 12 Pro Max
Geekbench ML Score
2572
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | davidblue |
| Upload Date | September 30 2022 08:31 PM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1 |
| 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 | 5.54 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5923
634.6 IPS |
|
|
Image Classification (F16)
|
100% |
6231
667.6 IPS |
|
|
Image Classification (I8)
|
81% |
641
68.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1794
11.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1867
11.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
1123
6.94 IPS |
|
|
Pose Estimation (F32)
|
100% |
18676
75.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
18803
76.1 IPS |
|
|
Pose Estimation (I8)
|
80% |
224
0.91 IPS |
|
|
Object Detection (F32)
|
100% |
7267
255.0 IPS |
|
|
Object Detection (F16)
|
100% |
7479
262.5 IPS |
|
|
Object Detection (I8)
|
52% |
921
32.3 IPS |
|
|
Face Detection (F32)
|
100% |
7599
87.3 IPS |
|
|
Face Detection (F16)
|
100% |
7564
86.9 IPS |
|
|
Face Detection (I8)
|
75% |
897
10.3 IPS |
|
|
Text Classification (F32)
|
100% |
1093
432.4 IPS |
|
|
Text Classification (F16)
|
100% |
1110
439.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1689
260.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1697
261.5 IPS |
