iPhone X
Geekbench ML Score
437
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 13 2021 12:50 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| 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% |
381
40.8 IPS |
|
|
Image Classification (F16)
|
100% |
383
41.0 IPS |
|
|
Image Classification (I8)
|
81% |
291
31.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
660
4.08 IPS |
|
|
Image Segmentation (F16)
|
100% |
657
4.06 IPS |
|
|
Image Segmentation (I8)
|
89% |
877
5.42 IPS |
|
|
Pose Estimation (F32)
|
100% |
232
0.94 IPS |
|
|
Pose Estimation (F16)
|
100% |
222
0.90 IPS |
|
|
Pose Estimation (I8)
|
80% |
80
0.32 IPS |
|
|
Object Detection (F32)
|
100% |
275
9.66 IPS |
|
|
Object Detection (F16)
|
100% |
341
12.0 IPS |
|
|
Object Detection (I8)
|
52% |
512
18.0 IPS |
|
|
Face Detection (F32)
|
100% |
539
6.20 IPS |
|
|
Face Detection (F16)
|
100% |
550
6.32 IPS |
|
|
Face Detection (I8)
|
75% |
597
6.85 IPS |
|
|
Text Classification (F32)
|
100% |
631
249.6 IPS |
|
|
Text Classification (F16)
|
100% |
714
282.4 IPS |
|
|
Machine Translation (F32)
|
100% |
754
116.3 IPS |
|
|
Machine Translation (F16)
|
100% |
789
121.6 IPS |
