iPhone XS
Geekbench ML Score
578
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 16 2023 10:39 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.4.1 |
| 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 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
467
50.1 IPS |
|
|
Image Classification (F16)
|
100% |
466
50.0 IPS |
|
|
Image Classification (I8)
|
81% |
258
27.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
757
4.68 IPS |
|
|
Image Segmentation (F16)
|
100% |
758
4.68 IPS |
|
|
Image Segmentation (I8)
|
89% |
973
6.01 IPS |
|
|
Pose Estimation (F32)
|
100% |
246
1.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
244
0.99 IPS |
|
|
Pose Estimation (I8)
|
80% |
269
1.09 IPS |
|
|
Object Detection (F32)
|
100% |
703
24.7 IPS |
|
|
Object Detection (F16)
|
100% |
700
24.6 IPS |
|
|
Object Detection (I8)
|
52% |
509
17.9 IPS |
|
|
Face Detection (F32)
|
100% |
864
9.93 IPS |
|
|
Face Detection (F16)
|
100% |
848
9.75 IPS |
|
|
Face Detection (I8)
|
75% |
607
6.98 IPS |
|
|
Text Classification (F32)
|
100% |
727
287.7 IPS |
|
|
Text Classification (F16)
|
100% |
731
289.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1001
154.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1001
154.2 IPS |
