iPhone XS
Geekbench ML Score
571
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 15 2022 02:01 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.2.1 |
| 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% |
475
50.9 IPS |
|
|
Image Classification (F16)
|
100% |
467
50.1 IPS |
|
|
Image Classification (I8)
|
81% |
283
30.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
751
4.64 IPS |
|
|
Image Segmentation (F16)
|
100% |
746
4.61 IPS |
|
|
Image Segmentation (I8)
|
89% |
946
5.84 IPS |
|
|
Pose Estimation (F32)
|
100% |
225
0.91 IPS |
|
|
Pose Estimation (F16)
|
100% |
228
0.92 IPS |
|
|
Pose Estimation (I8)
|
80% |
264
1.07 IPS |
|
|
Object Detection (F32)
|
100% |
664
23.3 IPS |
|
|
Object Detection (F16)
|
100% |
661
23.2 IPS |
|
|
Object Detection (I8)
|
52% |
542
19.0 IPS |
|
|
Face Detection (F32)
|
100% |
841
9.66 IPS |
|
|
Face Detection (F16)
|
100% |
798
9.16 IPS |
|
|
Face Detection (I8)
|
75% |
609
7.00 IPS |
|
|
Text Classification (F32)
|
100% |
764
302.2 IPS |
|
|
Text Classification (F16)
|
100% |
763
301.8 IPS |
|
|
Machine Translation (F32)
|
100% |
980
151.1 IPS |
|
|
Machine Translation (F16)
|
100% |
978
150.7 IPS |
