iPhone X
Geekbench ML Score
427
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 15 2022 03:26 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% |
373
40.0 IPS |
|
|
Image Classification (F16)
|
100% |
364
39.0 IPS |
|
|
Image Classification (I8)
|
81% |
267
28.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
588
3.63 IPS |
|
|
Image Segmentation (F16)
|
100% |
590
3.65 IPS |
|
|
Image Segmentation (I8)
|
89% |
806
4.98 IPS |
|
|
Pose Estimation (F32)
|
100% |
195
0.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
181
0.73 IPS |
|
|
Pose Estimation (I8)
|
80% |
191
0.77 IPS |
|
|
Object Detection (F32)
|
100% |
443
15.6 IPS |
|
|
Object Detection (F16)
|
100% |
524
18.4 IPS |
|
|
Object Detection (I8)
|
52% |
481
16.9 IPS |
|
|
Face Detection (F32)
|
100% |
613
7.05 IPS |
|
|
Face Detection (F16)
|
100% |
552
6.35 IPS |
|
|
Face Detection (I8)
|
75% |
529
6.08 IPS |
|
|
Text Classification (F32)
|
100% |
422
167.0 IPS |
|
|
Text Classification (F16)
|
100% |
430
170.2 IPS |
|
|
Machine Translation (F32)
|
100% |
599
92.2 IPS |
|
|
Machine Translation (F16)
|
100% |
669
103.2 IPS |
