iPhone XS Max
Geekbench ML Score
575
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 17 2022 11:25 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
459
49.2 IPS |
|
|
Image Classification (F16)
|
100% |
461
49.4 IPS |
|
|
Image Classification (I8)
|
81% |
282
30.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
747
4.61 IPS |
|
|
Image Segmentation (F16)
|
100% |
750
4.63 IPS |
|
|
Image Segmentation (I8)
|
89% |
956
5.90 IPS |
|
|
Pose Estimation (F32)
|
100% |
228
0.92 IPS |
|
|
Pose Estimation (F16)
|
100% |
229
0.93 IPS |
|
|
Pose Estimation (I8)
|
80% |
263
1.07 IPS |
|
|
Object Detection (F32)
|
100% |
676
23.7 IPS |
|
|
Object Detection (F16)
|
100% |
673
23.6 IPS |
|
|
Object Detection (I8)
|
52% |
534
18.7 IPS |
|
|
Face Detection (F32)
|
100% |
882
10.1 IPS |
|
|
Face Detection (F16)
|
100% |
827
9.50 IPS |
|
|
Face Detection (I8)
|
75% |
617
7.09 IPS |
|
|
Text Classification (F32)
|
100% |
785
310.4 IPS |
|
|
Text Classification (F16)
|
100% |
765
302.4 IPS |
|
|
Machine Translation (F32)
|
100% |
987
152.2 IPS |
|
|
Machine Translation (F16)
|
100% |
986
151.9 IPS |
