iPhone X
Geekbench ML Score
410
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 24 2021 01:11 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| 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% |
380
40.7 IPS |
|
|
Image Classification (F16)
|
100% |
375
40.2 IPS |
|
|
Image Classification (I8)
|
81% |
285
30.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
638
3.94 IPS |
|
|
Image Segmentation (F16)
|
100% |
612
3.78 IPS |
|
|
Image Segmentation (I8)
|
89% |
413
2.55 IPS |
|
|
Pose Estimation (F32)
|
100% |
92
0.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
99
0.40 IPS |
|
|
Pose Estimation (I8)
|
80% |
165
0.67 IPS |
|
|
Object Detection (F32)
|
100% |
359
12.6 IPS |
|
|
Object Detection (F16)
|
100% |
443
15.5 IPS |
|
|
Object Detection (I8)
|
52% |
478
16.8 IPS |
|
|
Face Detection (F32)
|
100% |
634
7.29 IPS |
|
|
Face Detection (F16)
|
100% |
642
7.37 IPS |
|
|
Face Detection (I8)
|
75% |
587
6.75 IPS |
|
|
Text Classification (F32)
|
100% |
635
251.1 IPS |
|
|
Text Classification (F16)
|
100% |
694
274.5 IPS |
|
|
Machine Translation (F32)
|
100% |
752
116.0 IPS |
|
|
Machine Translation (F16)
|
100% |
743
114.5 IPS |
