iPhone 11 Pro Max
Geekbench ML Score
710
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 06 2022 01:56 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0.2 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
552
59.1 IPS |
|
|
Image Classification (F16)
|
100% |
543
58.1 IPS |
|
|
Image Classification (I8)
|
81% |
290
31.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
884
5.46 IPS |
|
|
Image Segmentation (F16)
|
100% |
870
5.38 IPS |
|
|
Image Segmentation (I8)
|
89% |
1117
6.90 IPS |
|
|
Pose Estimation (F32)
|
100% |
278
1.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
275
1.11 IPS |
|
|
Pose Estimation (I8)
|
80% |
337
1.36 IPS |
|
|
Object Detection (F32)
|
100% |
770
27.0 IPS |
|
|
Object Detection (F16)
|
100% |
765
26.8 IPS |
|
|
Object Detection (I8)
|
52% |
582
20.4 IPS |
|
|
Face Detection (F32)
|
100% |
992
11.4 IPS |
|
|
Face Detection (F16)
|
100% |
948
10.9 IPS |
|
|
Face Detection (I8)
|
75% |
709
8.14 IPS |
|
|
Text Classification (F32)
|
100% |
1582
625.7 IPS |
|
|
Text Classification (F16)
|
100% |
1528
604.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1188
183.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1190
183.3 IPS |
