iPhone XS Max
Geekbench ML Score
550
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 15 2022 01:42 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.3 |
| 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% |
470
50.4 IPS |
|
|
Image Classification (F16)
|
100% |
460
49.3 IPS |
|
|
Image Classification (I8)
|
81% |
277
29.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
762
4.71 IPS |
|
|
Image Segmentation (F16)
|
100% |
762
4.71 IPS |
|
|
Image Segmentation (I8)
|
89% |
970
5.99 IPS |
|
|
Pose Estimation (F32)
|
100% |
142
0.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
168
0.68 IPS |
|
|
Pose Estimation (I8)
|
80% |
252
1.02 IPS |
|
|
Object Detection (F32)
|
100% |
682
23.9 IPS |
|
|
Object Detection (F16)
|
100% |
678
23.8 IPS |
|
|
Object Detection (I8)
|
52% |
535
18.8 IPS |
|
|
Face Detection (F32)
|
100% |
798
9.17 IPS |
|
|
Face Detection (F16)
|
100% |
800
9.19 IPS |
|
|
Face Detection (I8)
|
75% |
609
7.00 IPS |
|
|
Text Classification (F32)
|
100% |
780
308.6 IPS |
|
|
Text Classification (F16)
|
100% |
781
308.8 IPS |
|
|
Machine Translation (F32)
|
100% |
998
153.9 IPS |
|
|
Machine Translation (F16)
|
100% |
999
154.0 IPS |
