iPhone XS
Geekbench ML Score
1388
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 28 2023 10:20 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0.2 |
| 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4111
440.5 IPS |
|
|
Image Classification (F16)
|
100% |
4133
442.9 IPS |
|
|
Image Classification (I8)
|
81% |
378
40.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1325
8.18 IPS |
|
|
Image Segmentation (F16)
|
100% |
1284
7.93 IPS |
|
|
Image Segmentation (I8)
|
89% |
710
4.39 IPS |
|
|
Pose Estimation (F32)
|
100% |
6942
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
6937
28.1 IPS |
|
|
Pose Estimation (I8)
|
80% |
130
0.52 IPS |
|
|
Object Detection (F32)
|
94% |
4013
140.8 IPS |
|
|
Object Detection (F16)
|
94% |
4018
141.0 IPS |
|
|
Object Detection (I8)
|
52% |
550
19.3 IPS |
|
|
Face Detection (F32)
|
67% |
4108
47.2 IPS |
|
|
Face Detection (F16)
|
67% |
4109
47.2 IPS |
|
|
Face Detection (I8)
|
75% |
485
5.57 IPS |
|
|
Text Classification (F32)
|
100% |
387
153.2 IPS |
|
|
Text Classification (F16)
|
100% |
388
153.4 IPS |
|
|
Machine Translation (F32)
|
100% |
982
151.3 IPS |
|
|
Machine Translation (F16)
|
100% |
978
150.8 IPS |
