iPhone 11
Geekbench ML Score
719
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 19 2022 10:21 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.2.1 |
| 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% |
528
56.6 IPS |
|
|
Image Classification (F16)
|
100% |
527
56.5 IPS |
|
|
Image Classification (I8)
|
81% |
324
34.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
857
5.30 IPS |
|
|
Image Segmentation (F16)
|
100% |
838
5.18 IPS |
|
|
Image Segmentation (I8)
|
89% |
1102
6.81 IPS |
|
|
Pose Estimation (F32)
|
100% |
265
1.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
257
1.04 IPS |
|
|
Pose Estimation (I8)
|
80% |
320
1.30 IPS |
|
|
Object Detection (F32)
|
100% |
780
27.4 IPS |
|
|
Object Detection (F16)
|
100% |
780
27.4 IPS |
|
|
Object Detection (I8)
|
52% |
603
21.2 IPS |
|
|
Face Detection (F32)
|
100% |
962
11.0 IPS |
|
|
Face Detection (F16)
|
100% |
943
10.8 IPS |
|
|
Face Detection (I8)
|
75% |
707
8.12 IPS |
|
|
Text Classification (F32)
|
100% |
1980
783.2 IPS |
|
|
Text Classification (F16)
|
100% |
1998
790.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1140
175.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1158
178.4 IPS |
