iPhone 11
Geekbench ML Score
676
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 09 2022 02:40 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.6.1 |
| 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 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
549
58.8 IPS |
|
|
Image Classification (F16)
|
100% |
531
56.9 IPS |
|
|
Image Classification (I8)
|
81% |
263
28.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
852
5.26 IPS |
|
|
Image Segmentation (F16)
|
100% |
828
5.12 IPS |
|
|
Image Segmentation (I8)
|
89% |
1076
6.65 IPS |
|
|
Pose Estimation (F32)
|
100% |
260
1.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
254
1.03 IPS |
|
|
Pose Estimation (I8)
|
80% |
313
1.27 IPS |
|
|
Object Detection (F32)
|
100% |
762
26.7 IPS |
|
|
Object Detection (F16)
|
100% |
755
26.5 IPS |
|
|
Object Detection (I8)
|
52% |
565
19.8 IPS |
|
|
Face Detection (F32)
|
100% |
960
11.0 IPS |
|
|
Face Detection (F16)
|
100% |
936
10.8 IPS |
|
|
Face Detection (I8)
|
75% |
693
7.97 IPS |
|
|
Text Classification (F32)
|
100% |
1353
535.1 IPS |
|
|
Text Classification (F16)
|
100% |
1366
540.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1141
175.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1150
177.3 IPS |
