iPhone X
Geekbench ML Score
130
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 22 2024 02:15 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.6 |
| 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% |
89
9.59 IPS |
|
|
Image Classification (F16)
|
100% |
100
10.8 IPS |
|
|
Image Classification (I8)
|
81% |
91
9.79 IPS |
|
|
Image Segmentation (F32)
|
100% |
173
1.07 IPS |
|
|
Image Segmentation (F16)
|
100% |
192
1.19 IPS |
|
|
Image Segmentation (I8)
|
89% |
329
2.03 IPS |
|
|
Pose Estimation (F32)
|
100% |
59
0.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
55
0.22 IPS |
|
|
Pose Estimation (I8)
|
80% |
72
0.29 IPS |
|
|
Object Detection (F32)
|
100% |
185
6.48 IPS |
|
|
Object Detection (F16)
|
100% |
184
6.46 IPS |
|
|
Object Detection (I8)
|
52% |
167
5.85 IPS |
|
|
Face Detection (F32)
|
100% |
221
2.54 IPS |
|
|
Face Detection (F16)
|
100% |
215
2.47 IPS |
|
|
Face Detection (I8)
|
75% |
214
2.46 IPS |
|
|
Text Classification (F32)
|
100% |
107
42.3 IPS |
|
|
Text Classification (F16)
|
100% |
105
41.7 IPS |
|
|
Machine Translation (F32)
|
100% |
110
17.0 IPS |
|
|
Machine Translation (F16)
|
100% |
114
17.6 IPS |
