iPhone XS
Geekbench ML Score
1122
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 15 2022 01:21 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.3 |
| 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 |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
647
69.3 IPS |
|
|
Image Classification (F16)
|
100% |
1058
113.4 IPS |
|
|
Image Classification (I8)
|
81% |
401
42.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
3059
18.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
4543
28.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
743
4.59 IPS |
|
|
Pose Estimation (F32)
|
100% |
1207
4.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
3446
13.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
141
0.57 IPS |
|
|
Object Detection (F32)
|
100% |
1452
51.0 IPS |
|
|
Object Detection (F16)
|
99% |
1499
52.6 IPS |
|
|
Object Detection (I8)
|
52% |
565
19.8 IPS |
|
|
Face Detection (F32)
|
100% |
3188
36.6 IPS |
|
|
Face Detection (F16)
|
97% |
5085
58.4 IPS |
|
|
Face Detection (I8)
|
75% |
547
6.28 IPS |
|
|
Text Classification (F32)
|
100% |
647
256.0 IPS |
|
|
Text Classification (F16)
|
98% |
779
308.0 IPS |
|
|
Machine Translation (F32)
|
100% |
988
152.2 IPS |
|
|
Machine Translation (F16)
|
100% |
989
152.4 IPS |
