iPhone XS Max
Geekbench ML Score
525
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| User | Gothic_Day |
| Upload Date | June 24 2021 12:36 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
479
51.3 IPS |
|
|
Image Classification (F16)
|
100% |
451
48.3 IPS |
|
|
Image Classification (I8)
|
81% |
175
18.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
739
4.57 IPS |
|
|
Image Segmentation (F16)
|
100% |
742
4.59 IPS |
|
|
Image Segmentation (I8)
|
89% |
974
6.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
126
0.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
161
0.65 IPS |
|
|
Pose Estimation (I8)
|
80% |
249
1.01 IPS |
|
|
Object Detection (F32)
|
100% |
671
23.6 IPS |
|
|
Object Detection (F16)
|
100% |
669
23.5 IPS |
|
|
Object Detection (I8)
|
52% |
451
15.8 IPS |
|
|
Face Detection (F32)
|
100% |
790
9.08 IPS |
|
|
Face Detection (F16)
|
100% |
853
9.80 IPS |
|
|
Face Detection (I8)
|
75% |
614
7.05 IPS |
|
|
Text Classification (F32)
|
100% |
771
304.7 IPS |
|
|
Text Classification (F16)
|
100% |
765
302.6 IPS |
|
|
Machine Translation (F32)
|
100% |
994
153.3 IPS |
|
|
Machine Translation (F16)
|
100% |
993
153.1 IPS |
