iPhone X
Geekbench ML Score
482
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 16 2023 08:23 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3.1 |
| 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% |
369
39.5 IPS |
|
|
Image Classification (F16)
|
100% |
360
38.6 IPS |
|
|
Image Classification (I8)
|
81% |
249
26.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
574
3.55 IPS |
|
|
Image Segmentation (F16)
|
100% |
611
3.77 IPS |
|
|
Image Segmentation (I8)
|
89% |
855
5.28 IPS |
|
|
Pose Estimation (F32)
|
100% |
212
0.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
202
0.82 IPS |
|
|
Pose Estimation (I8)
|
80% |
220
0.89 IPS |
|
|
Object Detection (F32)
|
100% |
552
19.4 IPS |
|
|
Object Detection (F16)
|
100% |
581
20.4 IPS |
|
|
Object Detection (I8)
|
52% |
430
15.1 IPS |
|
|
Face Detection (F32)
|
100% |
708
8.14 IPS |
|
|
Face Detection (F16)
|
100% |
692
7.95 IPS |
|
|
Face Detection (I8)
|
75% |
584
6.70 IPS |
|
|
Text Classification (F32)
|
100% |
684
270.6 IPS |
|
|
Text Classification (F16)
|
100% |
713
282.0 IPS |
|
|
Machine Translation (F32)
|
100% |
734
113.1 IPS |
|
|
Machine Translation (F16)
|
100% |
741
114.2 IPS |
