iPhone XS
Geekbench ML Score
558
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 26 2022 08:16 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0 |
| 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% |
423
45.3 IPS |
|
|
Image Classification (F16)
|
100% |
459
49.2 IPS |
|
|
Image Classification (I8)
|
81% |
272
29.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
755
4.66 IPS |
|
|
Image Segmentation (F16)
|
100% |
722
4.46 IPS |
|
|
Image Segmentation (I8)
|
89% |
948
5.85 IPS |
|
|
Pose Estimation (F32)
|
100% |
200
0.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
212
0.86 IPS |
|
|
Pose Estimation (I8)
|
80% |
260
1.05 IPS |
|
|
Object Detection (F32)
|
100% |
686
24.1 IPS |
|
|
Object Detection (F16)
|
100% |
657
23.0 IPS |
|
|
Object Detection (I8)
|
52% |
519
18.2 IPS |
|
|
Face Detection (F32)
|
100% |
838
9.63 IPS |
|
|
Face Detection (F16)
|
100% |
774
8.89 IPS |
|
|
Face Detection (I8)
|
75% |
618
7.10 IPS |
|
|
Text Classification (F32)
|
100% |
755
298.5 IPS |
|
|
Text Classification (F16)
|
100% |
751
296.9 IPS |
|
|
Machine Translation (F32)
|
100% |
996
153.5 IPS |
|
|
Machine Translation (F16)
|
100% |
989
152.5 IPS |
