iPhone XS Max
Geekbench ML Score
283
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% |
221
23.7 IPS |
|
|
Image Classification (F16)
|
100% |
155
16.6 IPS |
|
|
Image Classification (I8)
|
81% |
156
16.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
317
1.96 IPS |
|
|
Image Segmentation (F16)
|
100% |
322
1.99 IPS |
|
|
Image Segmentation (I8)
|
89% |
538
3.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
81
0.33 IPS |
|
|
Pose Estimation (F16)
|
100% |
60
0.24 IPS |
|
|
Pose Estimation (I8)
|
80% |
97
0.39 IPS |
|
|
Object Detection (F32)
|
100% |
356
12.5 IPS |
|
|
Object Detection (F16)
|
100% |
338
11.9 IPS |
|
|
Object Detection (I8)
|
52% |
355
12.5 IPS |
|
|
Face Detection (F32)
|
100% |
463
5.32 IPS |
|
|
Face Detection (F16)
|
100% |
460
5.29 IPS |
|
|
Face Detection (I8)
|
75% |
391
4.49 IPS |
|
|
Text Classification (F32)
|
100% |
223
88.4 IPS |
|
|
Text Classification (F16)
|
100% |
451
178.3 IPS |
|
|
Machine Translation (F32)
|
100% |
865
133.3 IPS |
|
|
Machine Translation (F16)
|
100% |
922
142.2 IPS |
