iPhone X
Geekbench ML Score
427
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 16 2023 08:31 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3.1 |
| 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% |
226
24.2 IPS |
|
|
Image Classification (F16)
|
100% |
246
26.4 IPS |
|
|
Image Classification (I8)
|
81% |
358
38.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
739
4.56 IPS |
|
|
Image Segmentation (F16)
|
100% |
722
4.46 IPS |
|
|
Image Segmentation (I8)
|
89% |
661
4.08 IPS |
|
|
Pose Estimation (F32)
|
100% |
703
2.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
701
2.84 IPS |
|
|
Pose Estimation (I8)
|
80% |
132
0.53 IPS |
|
|
Object Detection (F32)
|
100% |
483
17.0 IPS |
|
|
Object Detection (F16)
|
100% |
503
17.7 IPS |
|
|
Object Detection (I8)
|
52% |
512
18.0 IPS |
|
|
Face Detection (F32)
|
100% |
675
7.76 IPS |
|
|
Face Detection (F16)
|
100% |
756
8.69 IPS |
|
|
Face Detection (I8)
|
75% |
490
5.63 IPS |
|
|
Text Classification (F32)
|
100% |
113
44.7 IPS |
|
|
Text Classification (F16)
|
100% |
111
43.8 IPS |
|
|
Machine Translation (F32)
|
100% |
739
113.8 IPS |
|
|
Machine Translation (F16)
|
100% |
734
113.2 IPS |
