iPhone X
Geekbench ML Score
458
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 13 2021 04:07 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.2 |
| 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% |
298
31.9 IPS |
|
|
Image Classification (F16)
|
100% |
308
33.0 IPS |
|
|
Image Classification (I8)
|
81% |
342
36.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
790
4.88 IPS |
|
|
Image Segmentation (F16)
|
100% |
827
5.11 IPS |
|
|
Image Segmentation (I8)
|
89% |
647
3.99 IPS |
|
|
Pose Estimation (F32)
|
100% |
554
2.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
720
2.91 IPS |
|
|
Pose Estimation (I8)
|
80% |
115
0.47 IPS |
|
|
Object Detection (F32)
|
100% |
530
18.6 IPS |
|
|
Object Detection (F16)
|
100% |
737
25.9 IPS |
|
|
Object Detection (I8)
|
52% |
470
16.5 IPS |
|
|
Face Detection (F32)
|
100% |
1086
12.5 IPS |
|
|
Face Detection (F16)
|
100% |
1082
12.4 IPS |
|
|
Face Detection (I8)
|
75% |
431
4.96 IPS |
|
|
Text Classification (F32)
|
100% |
107
42.5 IPS |
|
|
Text Classification (F16)
|
100% |
137
54.3 IPS |
|
|
Machine Translation (F32)
|
100% |
666
102.6 IPS |
|
|
Machine Translation (F16)
|
100% |
672
103.6 IPS |
