iPhone 11 Pro Max
Geekbench ML Score
729
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 03 2021 04:17 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.2 |
| 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% |
556
59.6 IPS |
|
|
Image Classification (F16)
|
100% |
550
58.9 IPS |
|
|
Image Classification (I8)
|
81% |
337
36.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
882
5.45 IPS |
|
|
Image Segmentation (F16)
|
100% |
870
5.37 IPS |
|
|
Image Segmentation (I8)
|
89% |
1118
6.91 IPS |
|
|
Pose Estimation (F32)
|
100% |
284
1.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
282
1.14 IPS |
|
|
Pose Estimation (I8)
|
80% |
340
1.38 IPS |
|
|
Object Detection (F32)
|
100% |
713
25.0 IPS |
|
|
Object Detection (F16)
|
100% |
776
27.2 IPS |
|
|
Object Detection (I8)
|
52% |
608
21.4 IPS |
|
|
Face Detection (F32)
|
100% |
846
9.72 IPS |
|
|
Face Detection (F16)
|
100% |
900
10.3 IPS |
|
|
Face Detection (I8)
|
75% |
702
8.07 IPS |
|
|
Text Classification (F32)
|
100% |
1971
779.5 IPS |
|
|
Text Classification (F16)
|
100% |
1974
780.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1212
186.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1211
186.6 IPS |
