iPhone XS Max
Geekbench ML Score
1380
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 06 2021 04:25 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1 |
| 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 | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 2.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.67 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3877
415.4 IPS |
|
|
Image Classification (F16)
|
100% |
3770
403.9 IPS |
|
|
Image Classification (I8)
|
81% |
401
43.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1415
8.74 IPS |
|
|
Image Segmentation (F16)
|
100% |
1388
8.57 IPS |
|
|
Image Segmentation (I8)
|
89% |
746
4.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
7260
29.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
7325
29.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
141
0.57 IPS |
|
|
Object Detection (F32)
|
94% |
4024
141.2 IPS |
|
|
Object Detection (F16)
|
94% |
3959
138.9 IPS |
|
|
Object Detection (I8)
|
52% |
569
20.0 IPS |
|
|
Face Detection (F32)
|
67% |
3682
42.3 IPS |
|
|
Face Detection (F16)
|
67% |
3647
41.9 IPS |
|
|
Face Detection (I8)
|
75% |
550
6.31 IPS |
|
|
Text Classification (F32)
|
100% |
331
130.8 IPS |
|
|
Text Classification (F16)
|
100% |
322
127.5 IPS |
|
|
Machine Translation (F32)
|
100% |
998
153.7 IPS |
|
|
Machine Translation (F16)
|
100% |
997
153.7 IPS |
