iPhone XS Max
Geekbench ML Score
273
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 08:02 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.8 |
| 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% |
474
50.8 IPS |
|
|
Image Classification (F16)
|
100% |
466
49.9 IPS |
|
|
Image Classification (I8)
|
81% |
278
29.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
326
2.01 IPS |
|
|
Image Segmentation (F16)
|
100% |
287
1.77 IPS |
|
|
Image Segmentation (I8)
|
89% |
392
2.42 IPS |
|
|
Pose Estimation (F32)
|
100% |
113
0.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
153
0.62 IPS |
|
|
Pose Estimation (I8)
|
80% |
147
0.60 IPS |
|
|
Object Detection (F32)
|
100% |
328
11.5 IPS |
|
|
Object Detection (F16)
|
100% |
255
8.94 IPS |
|
|
Object Detection (I8)
|
52% |
311
10.9 IPS |
|
|
Face Detection (F32)
|
100% |
302
3.46 IPS |
|
|
Face Detection (F16)
|
100% |
243
2.80 IPS |
|
|
Face Detection (I8)
|
75% |
198
2.27 IPS |
|
|
Text Classification (F32)
|
100% |
223
88.3 IPS |
|
|
Text Classification (F16)
|
100% |
231
91.3 IPS |
|
|
Machine Translation (F32)
|
100% |
357
55.0 IPS |
|
|
Machine Translation (F16)
|
100% |
508
78.3 IPS |
