iPhone 11
Geekbench ML Score
692
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 28 2023 10:21 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0.1 |
| 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% |
544
58.3 IPS |
|
|
Image Classification (F16)
|
100% |
491
52.6 IPS |
|
|
Image Classification (I8)
|
81% |
306
32.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
848
5.24 IPS |
|
|
Image Segmentation (F16)
|
100% |
820
5.07 IPS |
|
|
Image Segmentation (I8)
|
89% |
1107
6.84 IPS |
|
|
Pose Estimation (F32)
|
100% |
269
1.09 IPS |
|
|
Pose Estimation (F16)
|
100% |
254
1.03 IPS |
|
|
Pose Estimation (I8)
|
80% |
323
1.31 IPS |
|
|
Object Detection (F32)
|
100% |
772
27.1 IPS |
|
|
Object Detection (F16)
|
100% |
772
27.1 IPS |
|
|
Object Detection (I8)
|
52% |
580
20.3 IPS |
|
|
Face Detection (F32)
|
100% |
908
10.4 IPS |
|
|
Face Detection (F16)
|
100% |
970
11.1 IPS |
|
|
Face Detection (I8)
|
75% |
718
8.25 IPS |
|
|
Text Classification (F32)
|
100% |
1496
591.7 IPS |
|
|
Text Classification (F16)
|
100% |
1546
611.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1122
172.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1167
179.9 IPS |
