iPhone XS
Geekbench ML Score
542
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 23 2021 07:03 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| Model | iPhone XS |
| Model ID | iPhone11,2 |
| Motherboard | D321AP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| L1 Instruction Cache | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 2.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.69 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
460
49.3 IPS |
|
|
Image Classification (F16)
|
100% |
465
49.8 IPS |
|
|
Image Classification (I8)
|
81% |
281
30.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
747
4.61 IPS |
|
|
Image Segmentation (F16)
|
100% |
714
4.41 IPS |
|
|
Image Segmentation (I8)
|
89% |
960
5.93 IPS |
|
|
Pose Estimation (F32)
|
100% |
234
0.95 IPS |
|
|
Pose Estimation (F16)
|
100% |
232
0.94 IPS |
|
|
Pose Estimation (I8)
|
80% |
272
1.10 IPS |
|
|
Object Detection (F32)
|
100% |
681
23.9 IPS |
|
|
Object Detection (F16)
|
100% |
680
23.9 IPS |
|
|
Object Detection (I8)
|
52% |
551
19.3 IPS |
|
|
Face Detection (F32)
|
100% |
850
9.77 IPS |
|
|
Face Detection (F16)
|
100% |
848
9.75 IPS |
|
|
Face Detection (I8)
|
75% |
633
7.27 IPS |
|
|
Text Classification (F32)
|
100% |
761
300.9 IPS |
|
|
Text Classification (F16)
|
100% |
355
140.4 IPS |
|
|
Machine Translation (F32)
|
100% |
670
103.2 IPS |
|
|
Machine Translation (F16)
|
100% |
954
147.1 IPS |
