iPhone X
Geekbench ML Score
308
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | May 26 2021 07:55 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| 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% |
231
24.7 IPS |
|
|
Image Classification (F16)
|
100% |
232
24.8 IPS |
|
|
Image Classification (I8)
|
81% |
295
31.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
376
2.32 IPS |
|
|
Image Segmentation (F16)
|
100% |
376
2.32 IPS |
|
|
Image Segmentation (I8)
|
89% |
665
4.11 IPS |
|
|
Pose Estimation (F32)
|
100% |
85
0.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
84
0.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
117
0.47 IPS |
|
|
Object Detection (F32)
|
100% |
336
11.8 IPS |
|
|
Object Detection (F16)
|
100% |
332
11.6 IPS |
|
|
Object Detection (I8)
|
52% |
437
15.3 IPS |
|
|
Face Detection (F32)
|
100% |
422
4.85 IPS |
|
|
Face Detection (F16)
|
100% |
423
4.86 IPS |
|
|
Face Detection (I8)
|
75% |
432
4.96 IPS |
|
|
Text Classification (F32)
|
100% |
416
164.7 IPS |
|
|
Text Classification (F16)
|
100% |
430
170.0 IPS |
|
|
Machine Translation (F32)
|
100% |
482
74.3 IPS |
|
|
Machine Translation (F16)
|
100% |
477
73.6 IPS |
