iPhone 11 Pro Max
Geekbench ML Score
700
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 29 2021 01:39 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.4.2 |
| 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 | 3.67 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
555
59.5 IPS |
|
|
Image Classification (F16)
|
100% |
552
59.2 IPS |
|
|
Image Classification (I8)
|
81% |
329
35.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
879
5.43 IPS |
|
|
Image Segmentation (F16)
|
100% |
873
5.39 IPS |
|
|
Image Segmentation (I8)
|
89% |
1132
6.99 IPS |
|
|
Pose Estimation (F32)
|
100% |
285
1.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
282
1.14 IPS |
|
|
Pose Estimation (I8)
|
80% |
344
1.39 IPS |
|
|
Object Detection (F32)
|
100% |
735
25.8 IPS |
|
|
Object Detection (F16)
|
100% |
423
14.8 IPS |
|
|
Object Detection (I8)
|
52% |
610
21.4 IPS |
|
|
Face Detection (F32)
|
100% |
778
8.94 IPS |
|
|
Face Detection (F16)
|
100% |
847
9.73 IPS |
|
|
Face Detection (I8)
|
75% |
708
8.13 IPS |
|
|
Text Classification (F32)
|
100% |
1933
764.6 IPS |
|
|
Text Classification (F16)
|
100% |
1888
746.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1215
187.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1215
187.3 IPS |
