iPhone 13 Pro Max
Geekbench ML Score
2737
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | March 10 2022 03:22 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.3.1 |
| Model | iPhone 13 Pro Max |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 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% |
5497
589.0 IPS |
|
|
Image Classification (F16)
|
100% |
5470
586.1 IPS |
|
|
Image Classification (I8)
|
81% |
690
74.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2095
12.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2133
13.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
1216
7.51 IPS |
|
|
Pose Estimation (F32)
|
100% |
23518
95.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
24110
97.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
233
0.94 IPS |
|
|
Object Detection (F32)
|
100% |
7033
246.8 IPS |
|
|
Object Detection (F16)
|
100% |
7035
246.9 IPS |
|
|
Object Detection (I8)
|
52% |
960
33.7 IPS |
|
|
Face Detection (F32)
|
100% |
7983
91.7 IPS |
|
|
Face Detection (F16)
|
100% |
8040
92.4 IPS |
|
|
Face Detection (I8)
|
75% |
927
10.6 IPS |
|
|
Text Classification (F32)
|
100% |
1117
442.0 IPS |
|
|
Text Classification (F16)
|
100% |
1113
440.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1976
304.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1971
303.8 IPS |
