iPhone 11 Pro Max
Geekbench ML Score
675
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 10:52 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| 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% |
545
58.4 IPS |
|
|
Image Classification (F16)
|
100% |
534
57.2 IPS |
|
|
Image Classification (I8)
|
81% |
328
35.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
861
5.32 IPS |
|
|
Image Segmentation (F16)
|
100% |
847
5.23 IPS |
|
|
Image Segmentation (I8)
|
89% |
1101
6.80 IPS |
|
|
Pose Estimation (F32)
|
100% |
276
1.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
274
1.11 IPS |
|
|
Pose Estimation (I8)
|
80% |
129
0.52 IPS |
|
|
Object Detection (F32)
|
100% |
646
22.7 IPS |
|
|
Object Detection (F16)
|
100% |
761
26.7 IPS |
|
|
Object Detection (I8)
|
52% |
616
21.6 IPS |
|
|
Face Detection (F32)
|
100% |
829
9.52 IPS |
|
|
Face Detection (F16)
|
100% |
845
9.71 IPS |
|
|
Face Detection (I8)
|
75% |
702
8.07 IPS |
|
|
Text Classification (F32)
|
100% |
1778
703.4 IPS |
|
|
Text Classification (F16)
|
100% |
2015
796.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1211
186.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1209
186.3 IPS |
