iPhone X
Geekbench ML Score
242
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 15 2022 06:18 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% |
118
12.7 IPS |
|
|
Image Classification (F16)
|
100% |
128
13.7 IPS |
|
|
Image Classification (I8)
|
81% |
125
13.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
289
1.79 IPS |
|
|
Image Segmentation (F16)
|
100% |
385
2.38 IPS |
|
|
Image Segmentation (I8)
|
89% |
664
4.10 IPS |
|
|
Pose Estimation (F32)
|
100% |
86
0.35 IPS |
|
|
Pose Estimation (F16)
|
100% |
85
0.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
103
0.42 IPS |
|
|
Object Detection (F32)
|
100% |
255
8.96 IPS |
|
|
Object Detection (F16)
|
100% |
297
10.4 IPS |
|
|
Object Detection (I8)
|
52% |
300
10.5 IPS |
|
|
Face Detection (F32)
|
100% |
421
4.83 IPS |
|
|
Face Detection (F16)
|
100% |
359
4.12 IPS |
|
|
Face Detection (I8)
|
75% |
314
3.60 IPS |
|
|
Text Classification (F32)
|
100% |
283
112.1 IPS |
|
|
Text Classification (F16)
|
100% |
281
111.2 IPS |
|
|
Machine Translation (F32)
|
100% |
483
74.5 IPS |
|
|
Machine Translation (F16)
|
100% |
483
74.4 IPS |
