iPhone XS Max
Geekbench ML Score
401
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 11 2024 04:49 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| 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% |
334
35.8 IPS |
|
|
Image Classification (F16)
|
100% |
335
35.8 IPS |
|
|
Image Classification (I8)
|
81% |
276
29.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
570
3.52 IPS |
|
|
Image Segmentation (F16)
|
100% |
541
3.34 IPS |
|
|
Image Segmentation (I8)
|
89% |
825
5.10 IPS |
|
|
Pose Estimation (F32)
|
100% |
117
0.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
96
0.39 IPS |
|
|
Pose Estimation (I8)
|
80% |
164
0.66 IPS |
|
|
Object Detection (F32)
|
100% |
496
17.4 IPS |
|
|
Object Detection (F16)
|
100% |
506
17.8 IPS |
|
|
Object Detection (I8)
|
52% |
489
17.2 IPS |
|
|
Face Detection (F32)
|
100% |
452
5.19 IPS |
|
|
Face Detection (F16)
|
100% |
451
5.18 IPS |
|
|
Face Detection (I8)
|
75% |
418
4.80 IPS |
|
|
Text Classification (F32)
|
100% |
558
220.6 IPS |
|
|
Text Classification (F16)
|
100% |
582
230.4 IPS |
|
|
Machine Translation (F32)
|
100% |
774
119.3 IPS |
|
|
Machine Translation (F16)
|
100% |
781
120.4 IPS |
