iPhone XS
Geekbench ML Score
582
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 05 2024 10:04 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.7.1 |
| 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 | 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% |
476
51.0 IPS |
|
|
Image Classification (F16)
|
100% |
473
50.7 IPS |
|
|
Image Classification (I8)
|
81% |
283
30.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
767
4.74 IPS |
|
|
Image Segmentation (F16)
|
100% |
765
4.73 IPS |
|
|
Image Segmentation (I8)
|
89% |
965
5.96 IPS |
|
|
Pose Estimation (F32)
|
100% |
232
0.94 IPS |
|
|
Pose Estimation (F16)
|
100% |
225
0.91 IPS |
|
|
Pose Estimation (I8)
|
80% |
265
1.07 IPS |
|
|
Object Detection (F32)
|
100% |
712
25.0 IPS |
|
|
Object Detection (F16)
|
100% |
693
24.3 IPS |
|
|
Object Detection (I8)
|
52% |
548
19.2 IPS |
|
|
Face Detection (F32)
|
100% |
861
9.89 IPS |
|
|
Face Detection (F16)
|
100% |
831
9.54 IPS |
|
|
Face Detection (I8)
|
75% |
607
6.97 IPS |
|
|
Text Classification (F32)
|
100% |
783
309.6 IPS |
|
|
Text Classification (F16)
|
100% |
779
308.1 IPS |
|
|
Machine Translation (F32)
|
100% |
993
153.0 IPS |
|
|
Machine Translation (F16)
|
100% |
991
152.8 IPS |
