iPhone XS Max
Geekbench ML Score
568
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 07:49 PM |
| Views | 1 |
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
50.6 IPS |
|
|
Image Classification (F16)
|
100% |
455
48.7 IPS |
|
|
Image Classification (I8)
|
81% |
266
28.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
765
4.73 IPS |
|
|
Image Segmentation (F16)
|
100% |
758
4.68 IPS |
|
|
Image Segmentation (I8)
|
89% |
978
6.04 IPS |
|
|
Pose Estimation (F32)
|
100% |
246
0.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
243
0.98 IPS |
|
|
Pose Estimation (I8)
|
80% |
228
0.92 IPS |
|
|
Object Detection (F32)
|
100% |
675
23.7 IPS |
|
|
Object Detection (F16)
|
100% |
674
23.7 IPS |
|
|
Object Detection (I8)
|
52% |
513
18.0 IPS |
|
|
Face Detection (F32)
|
100% |
778
8.93 IPS |
|
|
Face Detection (F16)
|
100% |
777
8.93 IPS |
|
|
Face Detection (I8)
|
75% |
593
6.81 IPS |
|
|
Text Classification (F32)
|
100% |
768
303.8 IPS |
|
|
Text Classification (F16)
|
100% |
771
305.1 IPS |
|
|
Machine Translation (F32)
|
100% |
997
153.7 IPS |
|
|
Machine Translation (F16)
|
100% |
999
154.0 IPS |
