iPhone 11 Pro Max
Geekbench ML Score
729
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 13 2021 03:05 AM |
| 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% |
553
59.2 IPS |
|
|
Image Classification (F16)
|
100% |
553
59.3 IPS |
|
|
Image Classification (I8)
|
81% |
333
35.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
887
5.48 IPS |
|
|
Image Segmentation (F16)
|
100% |
869
5.37 IPS |
|
|
Image Segmentation (I8)
|
89% |
1127
6.96 IPS |
|
|
Pose Estimation (F32)
|
100% |
288
1.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
284
1.15 IPS |
|
|
Pose Estimation (I8)
|
80% |
342
1.38 IPS |
|
|
Object Detection (F32)
|
100% |
823
28.9 IPS |
|
|
Object Detection (F16)
|
100% |
711
24.9 IPS |
|
|
Object Detection (I8)
|
52% |
622
21.8 IPS |
|
|
Face Detection (F32)
|
100% |
759
8.72 IPS |
|
|
Face Detection (F16)
|
100% |
859
9.87 IPS |
|
|
Face Detection (I8)
|
75% |
708
8.13 IPS |
|
|
Text Classification (F32)
|
100% |
2028
802.0 IPS |
|
|
Text Classification (F16)
|
100% |
2021
799.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1204
185.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1210
186.6 IPS |
