iPhone XS
Geekbench ML Score
1097
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.0 for iOS AArch64
Result Information
| Upload Date | May 11 2021 12:21 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| 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 | 128 KB x 1 |
| L1 Data Cache | 128 KB x 1 |
| L2 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.70 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3070
328.9 IPS |
|
|
Image Classification (F16)
|
100% |
2927
313.6 IPS |
|
|
Image Classification (I8)
|
81% |
405
43.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1342
8.29 IPS |
|
|
Image Segmentation (F16)
|
100% |
1365
8.43 IPS |
|
|
Image Segmentation (I8)
|
89% |
750
4.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
8205
33.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
7284
29.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
141
0.57 IPS |
|
|
Object Detection (F32)
|
94% |
1179
41.4 IPS |
|
|
Object Detection (F16)
|
94% |
790
27.7 IPS |
|
|
Object Detection (I8)
|
52% |
456
16.0 IPS |
|
|
Face Detection (F32)
|
67% |
3363
38.6 IPS |
|
|
Face Detection (F16)
|
67% |
3278
37.7 IPS |
|
|
Face Detection (I8)
|
75% |
503
5.78 IPS |
|
|
Text Classification (F32)
|
100% |
264
104.4 IPS |
|
|
Text Classification (F16)
|
100% |
227
89.8 IPS |
|
|
Machine Translation (F32)
|
100% |
990
152.5 IPS |
|
|
Machine Translation (F16)
|
100% |
991
152.7 IPS |
