iPhone 11 Pro Max
Geekbench ML Score
1606
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 19 2024 11:28 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.8 |
| 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 | 3.67 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3068
328.8 IPS |
|
|
Image Classification (F16)
|
100% |
3061
328.0 IPS |
|
|
Image Classification (I8)
|
81% |
448
48.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1541
9.52 IPS |
|
|
Image Segmentation (F16)
|
100% |
1550
9.58 IPS |
|
|
Image Segmentation (I8)
|
89% |
838
5.18 IPS |
|
|
Pose Estimation (F32)
|
100% |
8485
34.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
8485
34.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
154
0.62 IPS |
|
|
Object Detection (F32)
|
94% |
4963
174.2 IPS |
|
|
Object Detection (F16)
|
94% |
4794
168.2 IPS |
|
|
Object Detection (I8)
|
52% |
640
22.5 IPS |
|
|
Face Detection (F32)
|
67% |
3755
43.1 IPS |
|
|
Face Detection (F16)
|
67% |
3711
42.6 IPS |
|
|
Face Detection (I8)
|
75% |
636
7.30 IPS |
|
|
Text Classification (F32)
|
100% |
684
270.5 IPS |
|
|
Text Classification (F16)
|
100% |
646
255.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1208
186.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1216
187.4 IPS |
