iPhone X
Geekbench ML Score
432
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | April 21 2022 05:32 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| 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% |
374
40.1 IPS |
|
|
Image Classification (F16)
|
100% |
364
39.0 IPS |
|
|
Image Classification (I8)
|
81% |
291
31.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
616
3.81 IPS |
|
|
Image Segmentation (F16)
|
100% |
602
3.72 IPS |
|
|
Image Segmentation (I8)
|
89% |
782
4.83 IPS |
|
|
Pose Estimation (F32)
|
100% |
202
0.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
167
0.68 IPS |
|
|
Pose Estimation (I8)
|
80% |
165
0.67 IPS |
|
|
Object Detection (F32)
|
100% |
443
15.6 IPS |
|
|
Object Detection (F16)
|
100% |
444
15.6 IPS |
|
|
Object Detection (I8)
|
52% |
485
17.0 IPS |
|
|
Face Detection (F32)
|
100% |
610
7.00 IPS |
|
|
Face Detection (F16)
|
100% |
548
6.30 IPS |
|
|
Face Detection (I8)
|
75% |
568
6.53 IPS |
|
|
Text Classification (F32)
|
100% |
428
169.5 IPS |
|
|
Text Classification (F16)
|
100% |
579
229.1 IPS |
|
|
Machine Translation (F32)
|
100% |
606
93.4 IPS |
|
|
Machine Translation (F16)
|
100% |
687
105.8 IPS |
