iPhone XS Max
Geekbench ML Score
550
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 07:53 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.4.2 |
| Model | iPhone XS Max |
| Model ID | iPhone11,6 |
| Motherboard | D331pAP |
| 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 | 3.68 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
472
50.5 IPS |
|
|
Image Classification (F16)
|
100% |
437
46.8 IPS |
|
|
Image Classification (I8)
|
81% |
269
28.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
762
4.71 IPS |
|
|
Image Segmentation (F16)
|
100% |
759
4.69 IPS |
|
|
Image Segmentation (I8)
|
89% |
976
6.03 IPS |
|
|
Pose Estimation (F32)
|
100% |
150
0.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
174
0.71 IPS |
|
|
Pose Estimation (I8)
|
80% |
253
1.02 IPS |
|
|
Object Detection (F32)
|
100% |
675
23.7 IPS |
|
|
Object Detection (F16)
|
100% |
680
23.9 IPS |
|
|
Object Detection (I8)
|
52% |
527
18.5 IPS |
|
|
Face Detection (F32)
|
100% |
806
9.27 IPS |
|
|
Face Detection (F16)
|
100% |
824
9.46 IPS |
|
|
Face Detection (I8)
|
75% |
611
7.02 IPS |
|
|
Text Classification (F32)
|
100% |
766
303.1 IPS |
|
|
Text Classification (F16)
|
100% |
760
300.7 IPS |
|
|
Machine Translation (F32)
|
100% |
997
153.7 IPS |
|
|
Machine Translation (F16)
|
100% |
997
153.7 IPS |
