iPhone X
Geekbench ML Score
467
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 16 2023 06:29 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.5 |
| 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% |
365
39.2 IPS |
|
|
Image Classification (F16)
|
100% |
362
38.7 IPS |
|
|
Image Classification (I8)
|
81% |
265
28.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
599
3.70 IPS |
|
|
Image Segmentation (F16)
|
100% |
609
3.76 IPS |
|
|
Image Segmentation (I8)
|
89% |
818
5.05 IPS |
|
|
Pose Estimation (F32)
|
100% |
203
0.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
196
0.79 IPS |
|
|
Pose Estimation (I8)
|
80% |
193
0.78 IPS |
|
|
Object Detection (F32)
|
100% |
532
18.7 IPS |
|
|
Object Detection (F16)
|
100% |
534
18.7 IPS |
|
|
Object Detection (I8)
|
52% |
498
17.5 IPS |
|
|
Face Detection (F32)
|
100% |
671
7.71 IPS |
|
|
Face Detection (F16)
|
100% |
641
7.36 IPS |
|
|
Face Detection (I8)
|
75% |
572
6.57 IPS |
|
|
Text Classification (F32)
|
100% |
561
222.1 IPS |
|
|
Text Classification (F16)
|
100% |
650
256.9 IPS |
|
|
Machine Translation (F32)
|
100% |
720
111.0 IPS |
|
|
Machine Translation (F16)
|
100% |
732
112.8 IPS |
