iPhone X
Geekbench ML Score
401
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 03 2023 01:20 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.8 |
| 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% |
232
24.9 IPS |
|
|
Image Classification (F16)
|
100% |
239
25.6 IPS |
|
|
Image Classification (I8)
|
81% |
352
37.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
668
4.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
657
4.06 IPS |
|
|
Image Segmentation (I8)
|
89% |
503
3.10 IPS |
|
|
Pose Estimation (F32)
|
100% |
396
1.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
506
2.05 IPS |
|
|
Pose Estimation (I8)
|
80% |
126
0.51 IPS |
|
|
Object Detection (F32)
|
100% |
467
16.4 IPS |
|
|
Object Detection (F16)
|
100% |
638
22.4 IPS |
|
|
Object Detection (I8)
|
52% |
503
17.7 IPS |
|
|
Face Detection (F32)
|
100% |
672
7.72 IPS |
|
|
Face Detection (F16)
|
100% |
720
8.27 IPS |
|
|
Face Detection (I8)
|
75% |
463
5.32 IPS |
|
|
Text Classification (F32)
|
100% |
113
44.7 IPS |
|
|
Text Classification (F16)
|
100% |
124
49.0 IPS |
|
|
Machine Translation (F32)
|
100% |
753
116.0 IPS |
|
|
Machine Translation (F16)
|
100% |
749
115.5 IPS |
