iPhone X
Geekbench ML Score
114
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 23 2024 02:57 PM |
| Views | 4 |
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% |
113
12.1 IPS |
|
|
Image Classification (F16)
|
100% |
118
12.7 IPS |
|
|
Image Classification (I8)
|
81% |
99
10.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
199
1.23 IPS |
|
|
Image Segmentation (F16)
|
100% |
173
1.07 IPS |
|
|
Image Segmentation (I8)
|
89% |
235
1.45 IPS |
|
|
Pose Estimation (F32)
|
100% |
42
0.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
42
0.17 IPS |
|
|
Pose Estimation (I8)
|
80% |
52
0.21 IPS |
|
|
Object Detection (F32)
|
100% |
127
4.47 IPS |
|
|
Object Detection (F16)
|
100% |
130
4.56 IPS |
|
|
Object Detection (I8)
|
52% |
128
4.48 IPS |
|
|
Face Detection (F32)
|
100% |
156
1.79 IPS |
|
|
Face Detection (F16)
|
100% |
155
1.78 IPS |
|
|
Face Detection (I8)
|
75% |
156
1.79 IPS |
|
|
Text Classification (F32)
|
100% |
107
42.3 IPS |
|
|
Text Classification (F16)
|
100% |
107
42.3 IPS |
|
|
Machine Translation (F32)
|
100% |
121
18.7 IPS |
|
|
Machine Translation (F16)
|
100% |
120
18.5 IPS |
