iPhone X
Geekbench ML Score
394
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for iOS AArch64
Result Information
| Upload Date | May 11 2021 12:14 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.5.1 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
382
40.9 IPS |
|
|
Image Classification (F16)
|
100% |
376
40.3 IPS |
|
|
Image Classification (I8)
|
81% |
279
29.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
626
3.87 IPS |
|
|
Image Segmentation (F16)
|
100% |
344
2.13 IPS |
|
|
Image Segmentation (I8)
|
89% |
410
2.53 IPS |
|
|
Pose Estimation (F32)
|
100% |
112
0.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
117
0.47 IPS |
|
|
Pose Estimation (I8)
|
80% |
162
0.66 IPS |
|
|
Object Detection (F32)
|
100% |
336
11.8 IPS |
|
|
Object Detection (F16)
|
100% |
336
11.8 IPS |
|
|
Object Detection (I8)
|
52% |
403
14.1 IPS |
|
|
Face Detection (F32)
|
100% |
647
7.44 IPS |
|
|
Face Detection (F16)
|
100% |
639
7.35 IPS |
|
|
Face Detection (I8)
|
75% |
593
6.81 IPS |
|
|
Text Classification (F32)
|
100% |
649
256.8 IPS |
|
|
Text Classification (F16)
|
100% |
697
275.6 IPS |
|
|
Machine Translation (F32)
|
100% |
741
114.1 IPS |
|
|
Machine Translation (F16)
|
100% |
749
115.4 IPS |
