iPhone XS Max
Geekbench ML Score
551
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 15 2021 02:35 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| 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% |
485
51.9 IPS |
|
|
Image Classification (F16)
|
100% |
474
50.8 IPS |
|
|
Image Classification (I8)
|
81% |
279
29.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
761
4.70 IPS |
|
|
Image Segmentation (F16)
|
100% |
747
4.61 IPS |
|
|
Image Segmentation (I8)
|
89% |
961
5.94 IPS |
|
|
Pose Estimation (F32)
|
100% |
143
0.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
185
0.75 IPS |
|
|
Pose Estimation (I8)
|
80% |
257
1.04 IPS |
|
|
Object Detection (F32)
|
100% |
665
23.3 IPS |
|
|
Object Detection (F16)
|
100% |
668
23.4 IPS |
|
|
Object Detection (I8)
|
52% |
531
18.6 IPS |
|
|
Face Detection (F32)
|
100% |
802
9.21 IPS |
|
|
Face Detection (F16)
|
100% |
805
9.25 IPS |
|
|
Face Detection (I8)
|
75% |
608
6.99 IPS |
|
|
Text Classification (F32)
|
100% |
754
298.2 IPS |
|
|
Text Classification (F16)
|
100% |
759
300.2 IPS |
|
|
Machine Translation (F32)
|
100% |
985
151.7 IPS |
|
|
Machine Translation (F16)
|
100% |
990
152.5 IPS |
