iPhone X
Geekbench ML Score
377
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 29 2021 01:25 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| 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% |
347
37.2 IPS |
|
|
Image Classification (F16)
|
100% |
335
35.9 IPS |
|
|
Image Classification (I8)
|
81% |
391
41.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
505
3.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
464
2.86 IPS |
|
|
Image Segmentation (I8)
|
89% |
783
4.84 IPS |
|
|
Pose Estimation (F32)
|
100% |
185
0.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
148
0.60 IPS |
|
|
Pose Estimation (I8)
|
80% |
133
0.54 IPS |
|
|
Object Detection (F32)
|
100% |
338
11.8 IPS |
|
|
Object Detection (F16)
|
100% |
337
11.8 IPS |
|
|
Object Detection (I8)
|
52% |
487
17.1 IPS |
|
|
Face Detection (F32)
|
100% |
535
6.14 IPS |
|
|
Face Detection (F16)
|
100% |
528
6.06 IPS |
|
|
Face Detection (I8)
|
75% |
555
6.38 IPS |
|
|
Text Classification (F32)
|
100% |
282
111.3 IPS |
|
|
Text Classification (F16)
|
100% |
433
171.1 IPS |
|
|
Machine Translation (F32)
|
100% |
481
74.2 IPS |
|
|
Machine Translation (F16)
|
100% |
601
92.6 IPS |
