iPhone 11
Geekbench ML Score
701
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 18 2025 05:48 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.5 |
| Model | iPhone 11 |
| Model ID | iPhone12,1 |
| Motherboard | N104AP |
| 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 | 3.77 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% |
549
58.8 IPS |
|
|
Image Classification (I8)
|
81% |
337
36.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
884
5.46 IPS |
|
|
Image Segmentation (F16)
|
100% |
867
5.36 IPS |
|
|
Image Segmentation (I8)
|
89% |
1127
6.96 IPS |
|
|
Pose Estimation (F32)
|
100% |
283
1.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
279
1.13 IPS |
|
|
Pose Estimation (I8)
|
80% |
143
0.58 IPS |
|
|
Object Detection (F32)
|
100% |
731
25.6 IPS |
|
|
Object Detection (F16)
|
100% |
780
27.4 IPS |
|
|
Object Detection (I8)
|
52% |
614
21.5 IPS |
|
|
Face Detection (F32)
|
100% |
878
10.1 IPS |
|
|
Face Detection (F16)
|
100% |
922
10.6 IPS |
|
|
Face Detection (I8)
|
75% |
710
8.15 IPS |
|
|
Text Classification (F32)
|
100% |
2016
797.4 IPS |
|
|
Text Classification (F16)
|
100% |
2004
792.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1211
186.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1202
185.3 IPS |
