iPhone XS Max
Geekbench ML Score
560
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 05 2021 04:38 PM |
| Views | 1 |
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% |
466
49.9 IPS |
|
|
Image Classification (F16)
|
100% |
452
48.4 IPS |
|
|
Image Classification (I8)
|
81% |
267
28.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
759
4.69 IPS |
|
|
Image Segmentation (F16)
|
100% |
756
4.67 IPS |
|
|
Image Segmentation (I8)
|
89% |
960
5.93 IPS |
|
|
Pose Estimation (F32)
|
100% |
164
0.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
210
0.85 IPS |
|
|
Pose Estimation (I8)
|
80% |
264
1.07 IPS |
|
|
Object Detection (F32)
|
100% |
690
24.2 IPS |
|
|
Object Detection (F16)
|
100% |
705
24.7 IPS |
|
|
Object Detection (I8)
|
52% |
493
17.3 IPS |
|
|
Face Detection (F32)
|
100% |
799
9.18 IPS |
|
|
Face Detection (F16)
|
100% |
849
9.75 IPS |
|
|
Face Detection (I8)
|
75% |
610
7.01 IPS |
|
|
Text Classification (F32)
|
100% |
778
307.7 IPS |
|
|
Text Classification (F16)
|
100% |
778
307.9 IPS |
|
|
Machine Translation (F32)
|
100% |
989
152.4 IPS |
|
|
Machine Translation (F16)
|
100% |
992
152.9 IPS |
