iPhone XS
Geekbench ML Score
554
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 21 2021 05:41 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1 |
| 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 |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
454
48.6 IPS |
|
|
Image Classification (F16)
|
100% |
430
46.0 IPS |
|
|
Image Classification (I8)
|
81% |
278
29.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
760
4.69 IPS |
|
|
Image Segmentation (F16)
|
100% |
753
4.65 IPS |
|
|
Image Segmentation (I8)
|
89% |
766
4.73 IPS |
|
|
Pose Estimation (F32)
|
100% |
197
0.80 IPS |
|
|
Pose Estimation (F16)
|
100% |
188
0.76 IPS |
|
|
Pose Estimation (I8)
|
80% |
263
1.06 IPS |
|
|
Object Detection (F32)
|
100% |
671
23.6 IPS |
|
|
Object Detection (F16)
|
100% |
696
24.4 IPS |
|
|
Object Detection (I8)
|
52% |
529
18.6 IPS |
|
|
Face Detection (F32)
|
100% |
835
9.59 IPS |
|
|
Face Detection (F16)
|
100% |
803
9.22 IPS |
|
|
Face Detection (I8)
|
75% |
592
6.80 IPS |
|
|
Text Classification (F32)
|
100% |
778
307.7 IPS |
|
|
Text Classification (F16)
|
100% |
767
303.3 IPS |
|
|
Machine Translation (F32)
|
100% |
995
153.3 IPS |
|
|
Machine Translation (F16)
|
100% |
998
153.8 IPS |
