iPhone XS
Geekbench ML Score
1117
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 23 2021 07:00 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| 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 |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
746
79.9 IPS |
|
|
Image Classification (F16)
|
100% |
1053
112.9 IPS |
|
|
Image Classification (I8)
|
81% |
402
43.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2892
17.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
4509
27.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
747
4.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
1107
4.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
3238
13.1 IPS |
|
|
Pose Estimation (I8)
|
80% |
141
0.57 IPS |
|
|
Object Detection (F32)
|
100% |
1455
51.1 IPS |
|
|
Object Detection (F16)
|
99% |
1548
54.3 IPS |
|
|
Object Detection (I8)
|
52% |
565
19.8 IPS |
|
|
Face Detection (F32)
|
100% |
2903
33.3 IPS |
|
|
Face Detection (F16)
|
97% |
5219
60.0 IPS |
|
|
Face Detection (I8)
|
75% |
551
6.33 IPS |
|
|
Text Classification (F32)
|
100% |
650
257.1 IPS |
|
|
Text Classification (F16)
|
98% |
780
308.7 IPS |
|
|
Machine Translation (F32)
|
100% |
993
153.0 IPS |
|
|
Machine Translation (F16)
|
100% |
992
152.9 IPS |
