iPhone XS Max
Geekbench ML Score
523
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | July 16 2022 04:01 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.5 |
| 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 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
377
40.4 IPS |
|
|
Image Classification (F16)
|
100% |
364
39.0 IPS |
|
|
Image Classification (I8)
|
81% |
235
25.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
656
4.06 IPS |
|
|
Image Segmentation (F16)
|
100% |
623
3.85 IPS |
|
|
Image Segmentation (I8)
|
89% |
933
5.76 IPS |
|
|
Pose Estimation (F32)
|
100% |
231
0.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
220
0.89 IPS |
|
|
Pose Estimation (I8)
|
80% |
254
1.03 IPS |
|
|
Object Detection (F32)
|
100% |
644
22.6 IPS |
|
|
Object Detection (F16)
|
100% |
647
22.7 IPS |
|
|
Object Detection (I8)
|
52% |
518
18.2 IPS |
|
|
Face Detection (F32)
|
100% |
807
9.27 IPS |
|
|
Face Detection (F16)
|
100% |
782
8.99 IPS |
|
|
Face Detection (I8)
|
75% |
523
6.01 IPS |
|
|
Text Classification (F32)
|
100% |
705
278.8 IPS |
|
|
Text Classification (F16)
|
100% |
697
275.8 IPS |
|
|
Machine Translation (F32)
|
100% |
929
143.1 IPS |
|
|
Machine Translation (F16)
|
100% |
882
135.9 IPS |
