iPhone XS
Geekbench ML Score
576
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 23 2021 07:04 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.7.1 |
| 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 | 128 KB x 1 |
| L1 Data Cache | 128 KB x 1 |
| L2 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.70 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
464
49.7 IPS |
|
|
Image Classification (F16)
|
100% |
463
49.6 IPS |
|
|
Image Classification (I8)
|
81% |
278
29.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
768
4.74 IPS |
|
|
Image Segmentation (F16)
|
100% |
760
4.70 IPS |
|
|
Image Segmentation (I8)
|
89% |
982
6.07 IPS |
|
|
Pose Estimation (F32)
|
100% |
253
1.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
250
1.01 IPS |
|
|
Pose Estimation (I8)
|
80% |
232
0.94 IPS |
|
|
Object Detection (F32)
|
100% |
671
23.5 IPS |
|
|
Object Detection (F16)
|
100% |
681
23.9 IPS |
|
|
Object Detection (I8)
|
52% |
534
18.8 IPS |
|
|
Face Detection (F32)
|
100% |
801
9.20 IPS |
|
|
Face Detection (F16)
|
100% |
817
9.38 IPS |
|
|
Face Detection (I8)
|
75% |
601
6.91 IPS |
|
|
Text Classification (F32)
|
100% |
774
306.1 IPS |
|
|
Text Classification (F16)
|
100% |
784
310.1 IPS |
|
|
Machine Translation (F32)
|
100% |
993
153.0 IPS |
|
|
Machine Translation (F16)
|
100% |
995
153.4 IPS |
