iPhone 11 Pro Max
Geekbench ML Score
695
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 15 2021 03:49 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| 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% |
552
59.1 IPS |
|
|
Image Classification (I8)
|
81% |
342
36.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
884
5.46 IPS |
|
|
Image Segmentation (F16)
|
100% |
873
5.39 IPS |
|
|
Image Segmentation (I8)
|
89% |
1127
6.96 IPS |
|
|
Pose Estimation (F32)
|
100% |
288
1.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
287
1.16 IPS |
|
|
Pose Estimation (I8)
|
80% |
342
1.38 IPS |
|
|
Object Detection (F32)
|
100% |
273
9.58 IPS |
|
|
Object Detection (F16)
|
100% |
733
25.7 IPS |
|
|
Object Detection (I8)
|
52% |
688
24.1 IPS |
|
|
Face Detection (F32)
|
100% |
773
8.88 IPS |
|
|
Face Detection (F16)
|
100% |
893
10.3 IPS |
|
|
Face Detection (I8)
|
75% |
708
8.14 IPS |
|
|
Text Classification (F32)
|
100% |
1966
777.8 IPS |
|
|
Text Classification (F16)
|
100% |
2007
794.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1213
186.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1207
186.0 IPS |
