iPhone X
Geekbench ML Score
443
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 12 2021 10:31 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| Model | iPhone X |
| Model ID | iPhone10,3 |
| Motherboard | D22AP |
| CPU Information | |
|---|---|
| Name | Apple A11 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.39 GHz |
| L1 Instruction Cache | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.76 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
258
27.6 IPS |
|
|
Image Classification (F16)
|
100% |
237
25.4 IPS |
|
|
Image Classification (I8)
|
81% |
359
38.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
756
4.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
738
4.56 IPS |
|
|
Image Segmentation (I8)
|
89% |
662
4.09 IPS |
|
|
Pose Estimation (F32)
|
100% |
692
2.80 IPS |
|
|
Pose Estimation (F16)
|
100% |
685
2.77 IPS |
|
|
Pose Estimation (I8)
|
80% |
132
0.53 IPS |
|
|
Object Detection (F32)
|
100% |
535
18.8 IPS |
|
|
Object Detection (F16)
|
100% |
661
23.2 IPS |
|
|
Object Detection (I8)
|
52% |
512
18.0 IPS |
|
|
Face Detection (F32)
|
100% |
696
8.00 IPS |
|
|
Face Detection (F16)
|
100% |
685
7.87 IPS |
|
|
Face Detection (I8)
|
75% |
491
5.64 IPS |
|
|
Text Classification (F32)
|
100% |
127
50.4 IPS |
|
|
Text Classification (F16)
|
100% |
128
50.7 IPS |
|
|
Machine Translation (F32)
|
100% |
752
115.9 IPS |
|
|
Machine Translation (F16)
|
100% |
744
114.6 IPS |
