iPhone X
Geekbench ML Score
395
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 29 2021 01:27 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| Model | iPhone X |
| Model ID | iPhone10,3 |
| Motherboard | D22AP |
| 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% |
382
40.9 IPS |
|
|
Image Classification (F16)
|
100% |
375
40.2 IPS |
|
|
Image Classification (I8)
|
81% |
291
31.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
222
1.37 IPS |
|
|
Image Segmentation (F16)
|
100% |
386
2.39 IPS |
|
|
Image Segmentation (I8)
|
89% |
855
5.28 IPS |
|
|
Pose Estimation (F32)
|
100% |
231
0.94 IPS |
|
|
Pose Estimation (F16)
|
100% |
221
0.90 IPS |
|
|
Pose Estimation (I8)
|
80% |
253
1.02 IPS |
|
|
Object Detection (F32)
|
100% |
593
20.8 IPS |
|
|
Object Detection (F16)
|
100% |
589
20.7 IPS |
|
|
Object Detection (I8)
|
52% |
527
18.5 IPS |
|
|
Face Detection (F32)
|
100% |
720
8.27 IPS |
|
|
Face Detection (F16)
|
100% |
362
4.16 IPS |
|
|
Face Detection (I8)
|
75% |
317
3.64 IPS |
|
|
Text Classification (F32)
|
100% |
284
112.2 IPS |
|
|
Text Classification (F16)
|
100% |
435
172.0 IPS |
|
|
Machine Translation (F32)
|
100% |
479
73.8 IPS |
|
|
Machine Translation (F16)
|
100% |
620
95.5 IPS |
