iPhone XS
Geekbench ML Score
1295
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 23 2021 06:56 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.7.1 |
| 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 | 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% |
3081
330.2 IPS |
|
|
Image Classification (F16)
|
100% |
3095
331.6 IPS |
|
|
Image Classification (I8)
|
81% |
401
43.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1337
8.26 IPS |
|
|
Image Segmentation (F16)
|
100% |
1340
8.28 IPS |
|
|
Image Segmentation (I8)
|
89% |
746
4.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
7096
28.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
7223
29.2 IPS |
|
|
Pose Estimation (I8)
|
80% |
141
0.57 IPS |
|
|
Object Detection (F32)
|
94% |
3875
136.0 IPS |
|
|
Object Detection (F16)
|
94% |
3767
132.2 IPS |
|
|
Object Detection (I8)
|
52% |
566
19.9 IPS |
|
|
Face Detection (F32)
|
67% |
3413
39.2 IPS |
|
|
Face Detection (F16)
|
67% |
3386
38.9 IPS |
|
|
Face Detection (I8)
|
75% |
551
6.33 IPS |
|
|
Text Classification (F32)
|
100% |
266
105.1 IPS |
|
|
Text Classification (F16)
|
100% |
268
106.2 IPS |
|
|
Machine Translation (F32)
|
100% |
995
153.4 IPS |
|
|
Machine Translation (F16)
|
100% |
992
153.0 IPS |
