iPhone X
Geekbench ML Score
302
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 17 2022 09:52 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.5 |
| 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% |
224
24.0 IPS |
|
|
Image Classification (F16)
|
100% |
225
24.1 IPS |
|
|
Image Classification (I8)
|
81% |
291
31.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
368
2.28 IPS |
|
|
Image Segmentation (F16)
|
100% |
373
2.31 IPS |
|
|
Image Segmentation (I8)
|
89% |
640
3.95 IPS |
|
|
Pose Estimation (F32)
|
100% |
80
0.32 IPS |
|
|
Pose Estimation (F16)
|
100% |
82
0.33 IPS |
|
|
Pose Estimation (I8)
|
80% |
117
0.48 IPS |
|
|
Object Detection (F32)
|
100% |
336
11.8 IPS |
|
|
Object Detection (F16)
|
100% |
335
11.8 IPS |
|
|
Object Detection (I8)
|
52% |
447
15.7 IPS |
|
|
Face Detection (F32)
|
100% |
417
4.79 IPS |
|
|
Face Detection (F16)
|
100% |
414
4.76 IPS |
|
|
Face Detection (I8)
|
75% |
422
4.85 IPS |
|
|
Text Classification (F32)
|
100% |
425
168.2 IPS |
|
|
Text Classification (F16)
|
100% |
415
164.1 IPS |
|
|
Machine Translation (F32)
|
100% |
467
72.0 IPS |
|
|
Machine Translation (F16)
|
100% |
466
71.9 IPS |
