iPhone X
Geekbench ML Score
308
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 02 2023 10:21 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7 |
| 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% |
224
24.0 IPS |
|
|
Image Classification (F16)
|
100% |
227
24.3 IPS |
|
|
Image Classification (I8)
|
81% |
295
31.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
377
2.33 IPS |
|
|
Image Segmentation (F16)
|
100% |
378
2.33 IPS |
|
|
Image Segmentation (I8)
|
89% |
639
3.95 IPS |
|
|
Pose Estimation (F32)
|
100% |
84
0.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
82
0.33 IPS |
|
|
Pose Estimation (I8)
|
80% |
120
0.49 IPS |
|
|
Object Detection (F32)
|
100% |
352
12.4 IPS |
|
|
Object Detection (F16)
|
100% |
349
12.2 IPS |
|
|
Object Detection (I8)
|
52% |
462
16.2 IPS |
|
|
Face Detection (F32)
|
100% |
417
4.79 IPS |
|
|
Face Detection (F16)
|
100% |
420
4.83 IPS |
|
|
Face Detection (I8)
|
75% |
437
5.02 IPS |
|
|
Text Classification (F32)
|
100% |
430
170.2 IPS |
|
|
Text Classification (F16)
|
100% |
432
170.7 IPS |
|
|
Machine Translation (F32)
|
100% |
464
71.4 IPS |
|
|
Machine Translation (F16)
|
100% |
462
71.1 IPS |
