iPhone X
Geekbench ML Score
294
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 12 2021 09:34 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% |
220
23.6 IPS |
|
|
Image Classification (F16)
|
100% |
207
22.1 IPS |
|
|
Image Classification (I8)
|
81% |
259
27.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
363
2.24 IPS |
|
|
Image Segmentation (F16)
|
100% |
368
2.27 IPS |
|
|
Image Segmentation (I8)
|
89% |
605
3.74 IPS |
|
|
Pose Estimation (F32)
|
100% |
79
0.32 IPS |
|
|
Pose Estimation (F16)
|
100% |
79
0.32 IPS |
|
|
Pose Estimation (I8)
|
80% |
111
0.45 IPS |
|
|
Object Detection (F32)
|
100% |
325
11.4 IPS |
|
|
Object Detection (F16)
|
100% |
326
11.5 IPS |
|
|
Object Detection (I8)
|
52% |
411
14.4 IPS |
|
|
Face Detection (F32)
|
100% |
400
4.60 IPS |
|
|
Face Detection (F16)
|
100% |
402
4.62 IPS |
|
|
Face Detection (I8)
|
75% |
412
4.74 IPS |
|
|
Text Classification (F32)
|
100% |
436
172.4 IPS |
|
|
Text Classification (F16)
|
100% |
435
172.1 IPS |
|
|
Machine Translation (F32)
|
100% |
483
74.5 IPS |
|
|
Machine Translation (F16)
|
100% |
478
73.6 IPS |
