iPhone 11
Geekbench ML Score
703
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 01 2023 06:05 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.1 |
| 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 | 3.76 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
548
58.7 IPS |
|
|
Image Classification (F16)
|
100% |
535
57.3 IPS |
|
|
Image Classification (I8)
|
81% |
304
32.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
863
5.33 IPS |
|
|
Image Segmentation (F16)
|
100% |
853
5.27 IPS |
|
|
Image Segmentation (I8)
|
89% |
1114
6.88 IPS |
|
|
Pose Estimation (F32)
|
100% |
273
1.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
261
1.06 IPS |
|
|
Pose Estimation (I8)
|
80% |
332
1.34 IPS |
|
|
Object Detection (F32)
|
100% |
779
27.3 IPS |
|
|
Object Detection (F16)
|
100% |
778
27.3 IPS |
|
|
Object Detection (I8)
|
52% |
596
20.9 IPS |
|
|
Face Detection (F32)
|
100% |
988
11.3 IPS |
|
|
Face Detection (F16)
|
100% |
982
11.3 IPS |
|
|
Face Detection (I8)
|
75% |
713
8.19 IPS |
|
|
Text Classification (F32)
|
100% |
1518
600.3 IPS |
|
|
Text Classification (F16)
|
100% |
1464
579.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1126
173.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1167
179.9 IPS |
