iPhone XS
Geekbench ML Score
1360
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | December 06 2024 01:40 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4104
439.7 IPS |
|
|
Image Classification (F16)
|
100% |
4042
433.1 IPS |
|
|
Image Classification (I8)
|
81% |
371
39.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1276
7.88 IPS |
|
|
Image Segmentation (F16)
|
100% |
1345
8.31 IPS |
|
|
Image Segmentation (I8)
|
89% |
706
4.36 IPS |
|
|
Pose Estimation (F32)
|
100% |
7184
29.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
7246
29.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
130
0.53 IPS |
|
|
Object Detection (F32)
|
94% |
3920
137.6 IPS |
|
|
Object Detection (F16)
|
94% |
4005
140.5 IPS |
|
|
Object Detection (I8)
|
52% |
550
19.3 IPS |
|
|
Face Detection (F32)
|
67% |
4028
46.3 IPS |
|
|
Face Detection (F16)
|
67% |
4036
46.4 IPS |
|
|
Face Detection (I8)
|
75% |
485
5.57 IPS |
|
|
Text Classification (F32)
|
100% |
326
129.0 IPS |
|
|
Text Classification (F16)
|
100% |
331
130.8 IPS |
|
|
Machine Translation (F32)
|
100% |
963
148.5 IPS |
|
|
Machine Translation (F16)
|
100% |
966
148.9 IPS |
