iPhone X
Geekbench ML Score
289
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 26 2022 08:30 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1 |
| 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% |
262
28.1 IPS |
|
|
Image Classification (F16)
|
100% |
258
27.6 IPS |
|
|
Image Classification (I8)
|
81% |
321
34.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
341
2.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
343
2.12 IPS |
|
|
Image Segmentation (I8)
|
89% |
570
3.52 IPS |
|
|
Pose Estimation (F32)
|
100% |
90
0.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
90
0.36 IPS |
|
|
Pose Estimation (I8)
|
80% |
133
0.54 IPS |
|
|
Object Detection (F32)
|
100% |
336
11.8 IPS |
|
|
Object Detection (F16)
|
100% |
309
10.8 IPS |
|
|
Object Detection (I8)
|
52% |
371
13.0 IPS |
|
|
Face Detection (F32)
|
100% |
333
3.83 IPS |
|
|
Face Detection (F16)
|
100% |
319
3.67 IPS |
|
|
Face Detection (I8)
|
75% |
378
4.34 IPS |
|
|
Text Classification (F32)
|
100% |
326
128.8 IPS |
|
|
Text Classification (F16)
|
100% |
339
134.2 IPS |
|
|
Machine Translation (F32)
|
100% |
422
65.0 IPS |
|
|
Machine Translation (F16)
|
100% |
530
81.6 IPS |
