iPhone XS
Geekbench ML Score
517
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | December 06 2024 01:35 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
361
38.7 IPS |
|
|
Image Classification (F16)
|
100% |
358
38.4 IPS |
|
|
Image Classification (I8)
|
81% |
276
29.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
672
4.15 IPS |
|
|
Image Segmentation (F16)
|
100% |
690
4.26 IPS |
|
|
Image Segmentation (I8)
|
89% |
915
5.65 IPS |
|
|
Pose Estimation (F32)
|
100% |
172
0.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
175
0.71 IPS |
|
|
Pose Estimation (I8)
|
80% |
236
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
664
23.3 IPS |
|
|
Object Detection (F16)
|
100% |
657
23.1 IPS |
|
|
Object Detection (I8)
|
52% |
522
18.3 IPS |
|
|
Face Detection (F32)
|
100% |
720
8.27 IPS |
|
|
Face Detection (F16)
|
100% |
694
7.98 IPS |
|
|
Face Detection (I8)
|
75% |
538
6.19 IPS |
|
|
Text Classification (F32)
|
100% |
774
306.3 IPS |
|
|
Text Classification (F16)
|
100% |
785
310.6 IPS |
|
|
Machine Translation (F32)
|
100% |
967
149.0 IPS |
|
|
Machine Translation (F16)
|
100% |
948
146.2 IPS |
