iPhone X
Geekbench ML Score
340
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 03 2021 04:16 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1 |
| Model | iPhone X |
| Model ID | iPhone10,6 |
| Motherboard | D221AP |
| 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% |
232
24.9 IPS |
|
|
Image Classification (F16)
|
100% |
239
25.6 IPS |
|
|
Image Classification (I8)
|
81% |
202
21.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
561
3.46 IPS |
|
|
Image Segmentation (F16)
|
100% |
555
3.43 IPS |
|
|
Image Segmentation (I8)
|
89% |
372
2.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
669
2.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
673
2.72 IPS |
|
|
Pose Estimation (I8)
|
80% |
75
0.30 IPS |
|
|
Object Detection (F32)
|
100% |
459
16.1 IPS |
|
|
Object Detection (F16)
|
100% |
537
18.9 IPS |
|
|
Object Detection (I8)
|
52% |
289
10.1 IPS |
|
|
Face Detection (F32)
|
100% |
689
7.92 IPS |
|
|
Face Detection (F16)
|
100% |
777
8.92 IPS |
|
|
Face Detection (I8)
|
75% |
278
3.20 IPS |
|
|
Text Classification (F32)
|
100% |
103
40.6 IPS |
|
|
Text Classification (F16)
|
100% |
116
45.9 IPS |
|
|
Machine Translation (F32)
|
100% |
486
74.8 IPS |
|
|
Machine Translation (F16)
|
100% |
483
74.4 IPS |
