iPhone 11 Pro Max
Geekbench ML Score
1735
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 15 2022 12:13 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| Model | iPhone 11 Pro Max |
| Model ID | iPhone12,5 |
| Motherboard | D431AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| L1 Instruction Cache | 96.0 KB x 1 |
| L1 Data Cache | 48.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.66 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4259
456.3 IPS |
|
|
Image Classification (F16)
|
100% |
4085
437.7 IPS |
|
|
Image Classification (I8)
|
81% |
424
45.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1517
9.37 IPS |
|
|
Image Segmentation (F16)
|
100% |
1577
9.74 IPS |
|
|
Image Segmentation (I8)
|
89% |
804
4.97 IPS |
|
|
Pose Estimation (F32)
|
100% |
8530
34.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
8475
34.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
146
0.59 IPS |
|
|
Object Detection (F32)
|
94% |
5104
179.1 IPS |
|
|
Object Detection (F16)
|
94% |
5056
177.4 IPS |
|
|
Object Detection (I8)
|
52% |
630
22.1 IPS |
|
|
Face Detection (F32)
|
67% |
5364
61.6 IPS |
|
|
Face Detection (F16)
|
67% |
5299
60.9 IPS |
|
|
Face Detection (I8)
|
75% |
605
6.95 IPS |
|
|
Text Classification (F32)
|
100% |
749
296.1 IPS |
|
|
Text Classification (F16)
|
100% |
788
311.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1206
185.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1190
183.4 IPS |
