iPhone X
Geekbench ML Score
203
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 15 2021 10:11 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.8 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
354
37.9 IPS |
|
|
Image Classification (F16)
|
100% |
299
32.0 IPS |
|
|
Image Classification (I8)
|
81% |
102
10.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
251
1.55 IPS |
|
|
Image Segmentation (F16)
|
100% |
262
1.62 IPS |
|
|
Image Segmentation (I8)
|
89% |
405
2.50 IPS |
|
|
Pose Estimation (F32)
|
100% |
82
0.33 IPS |
|
|
Pose Estimation (F16)
|
100% |
64
0.26 IPS |
|
|
Pose Estimation (I8)
|
80% |
82
0.33 IPS |
|
|
Object Detection (F32)
|
100% |
202
7.08 IPS |
|
|
Object Detection (F16)
|
100% |
201
7.07 IPS |
|
|
Object Detection (I8)
|
52% |
186
6.53 IPS |
|
|
Face Detection (F32)
|
100% |
278
3.20 IPS |
|
|
Face Detection (F16)
|
100% |
241
2.77 IPS |
|
|
Face Detection (I8)
|
75% |
225
2.59 IPS |
|
|
Text Classification (F32)
|
100% |
229
90.6 IPS |
|
|
Text Classification (F16)
|
100% |
229
90.7 IPS |
|
|
Machine Translation (F32)
|
100% |
317
48.8 IPS |
|
|
Machine Translation (F16)
|
100% |
317
48.8 IPS |
