iPhone 13 Pro Max
Geekbench ML Score
2852
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 08 2022 03:53 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1.2 |
| 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 | 5.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6036
646.7 IPS |
|
|
Image Classification (F16)
|
100% |
6389
684.6 IPS |
|
|
Image Classification (I8)
|
81% |
697
74.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2155
13.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2170
13.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
1258
7.77 IPS |
|
|
Pose Estimation (F32)
|
100% |
22917
92.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
23501
95.1 IPS |
|
|
Pose Estimation (I8)
|
80% |
241
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
7514
263.7 IPS |
|
|
Object Detection (F16)
|
100% |
7483
262.6 IPS |
|
|
Object Detection (I8)
|
52% |
998
35.0 IPS |
|
|
Face Detection (F32)
|
100% |
8585
98.6 IPS |
|
|
Face Detection (F16)
|
100% |
8578
98.5 IPS |
|
|
Face Detection (I8)
|
75% |
964
11.1 IPS |
|
|
Text Classification (F32)
|
100% |
1157
457.7 IPS |
|
|
Text Classification (F16)
|
100% |
1154
456.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2045
315.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1993
307.2 IPS |
