iPhone XS
Geekbench ML Score
1118
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 08 2022 01:01 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0.2 |
| 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 | GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
731
78.4 IPS |
|
|
Image Classification (F16)
|
100% |
1079
115.6 IPS |
|
|
Image Classification (I8)
|
81% |
405
43.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2986
18.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
4429
27.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
735
4.54 IPS |
|
|
Pose Estimation (F32)
|
100% |
1197
4.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
3405
13.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
139
0.56 IPS |
|
|
Object Detection (F32)
|
100% |
1410
49.5 IPS |
|
|
Object Detection (F16)
|
99% |
1488
52.2 IPS |
|
|
Object Detection (I8)
|
52% |
547
19.2 IPS |
|
|
Face Detection (F32)
|
100% |
3094
35.5 IPS |
|
|
Face Detection (F16)
|
97% |
5107
58.7 IPS |
|
|
Face Detection (I8)
|
75% |
481
5.53 IPS |
|
|
Text Classification (F32)
|
100% |
673
266.0 IPS |
|
|
Text Classification (F16)
|
98% |
828
327.5 IPS |
|
|
Machine Translation (F32)
|
100% |
996
153.4 IPS |
|
|
Machine Translation (F16)
|
100% |
987
152.0 IPS |
