iPhone X
Geekbench ML Score
406
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 13 2021 01:56 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| 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
41.0 IPS |
|
|
Image Classification (F16)
|
100% |
380
40.7 IPS |
|
|
Image Classification (I8)
|
81% |
291
31.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
647
4.00 IPS |
|
|
Image Segmentation (F16)
|
100% |
642
3.97 IPS |
|
|
Image Segmentation (I8)
|
89% |
681
4.21 IPS |
|
|
Pose Estimation (F32)
|
100% |
75
0.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
85
0.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
128
0.52 IPS |
|
|
Object Detection (F32)
|
100% |
343
12.0 IPS |
|
|
Object Detection (F16)
|
100% |
449
15.8 IPS |
|
|
Object Detection (I8)
|
52% |
489
17.2 IPS |
|
|
Face Detection (F32)
|
100% |
570
6.55 IPS |
|
|
Face Detection (F16)
|
100% |
634
7.29 IPS |
|
|
Face Detection (I8)
|
75% |
598
6.87 IPS |
|
|
Text Classification (F32)
|
100% |
612
241.9 IPS |
|
|
Text Classification (F16)
|
100% |
677
267.7 IPS |
|
|
Machine Translation (F32)
|
100% |
754
116.2 IPS |
|
|
Machine Translation (F16)
|
100% |
748
115.3 IPS |
