iPhone XS Max
Geekbench ML Score
565
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 12 2021 06:26 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% |
469
50.3 IPS |
|
|
Image Classification (F16)
|
100% |
451
48.4 IPS |
|
|
Image Classification (I8)
|
81% |
266
28.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
757
4.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
757
4.68 IPS |
|
|
Image Segmentation (I8)
|
89% |
953
5.89 IPS |
|
|
Pose Estimation (F32)
|
100% |
187
0.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
213
0.86 IPS |
|
|
Pose Estimation (I8)
|
80% |
258
1.05 IPS |
|
|
Object Detection (F32)
|
100% |
680
23.9 IPS |
|
|
Object Detection (F16)
|
100% |
673
23.6 IPS |
|
|
Object Detection (I8)
|
52% |
530
18.6 IPS |
|
|
Face Detection (F32)
|
100% |
855
9.83 IPS |
|
|
Face Detection (F16)
|
100% |
857
9.84 IPS |
|
|
Face Detection (I8)
|
75% |
596
6.85 IPS |
|
|
Text Classification (F32)
|
100% |
779
308.3 IPS |
|
|
Text Classification (F16)
|
100% |
779
308.2 IPS |
|
|
Machine Translation (F32)
|
100% |
994
153.1 IPS |
|
|
Machine Translation (F16)
|
100% |
991
152.8 IPS |
