iPhone XS Max
Geekbench ML Score
292
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 08:03 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% |
183
19.6 IPS |
|
|
Image Classification (F16)
|
100% |
162
17.3 IPS |
|
|
Image Classification (I8)
|
81% |
135
14.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
280
1.73 IPS |
|
|
Image Segmentation (F16)
|
100% |
360
2.22 IPS |
|
|
Image Segmentation (I8)
|
89% |
423
2.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
59
0.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
65
0.27 IPS |
|
|
Pose Estimation (I8)
|
80% |
108
0.44 IPS |
|
|
Object Detection (F32)
|
100% |
349
12.2 IPS |
|
|
Object Detection (F16)
|
100% |
432
15.1 IPS |
|
|
Object Detection (I8)
|
52% |
379
13.3 IPS |
|
|
Face Detection (F32)
|
100% |
463
5.31 IPS |
|
|
Face Detection (F16)
|
100% |
449
5.16 IPS |
|
|
Face Detection (I8)
|
75% |
438
5.03 IPS |
|
|
Text Classification (F32)
|
100% |
434
171.5 IPS |
|
|
Text Classification (F16)
|
100% |
562
222.3 IPS |
|
|
Machine Translation (F32)
|
100% |
815
125.6 IPS |
|
|
Machine Translation (F16)
|
100% |
965
148.7 IPS |
