iPhone XS
Geekbench ML Score
418
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | July 22 2021 09:01 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.7 |
| Model | iPhone XS |
| Model ID | iPhone11,2 |
| Motherboard | D321AP |
| 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 | 3.70 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
314
33.7 IPS |
|
|
Image Classification (F16)
|
100% |
320
34.3 IPS |
|
|
Image Classification (I8)
|
81% |
274
29.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
534
3.30 IPS |
|
|
Image Segmentation (F16)
|
100% |
535
3.31 IPS |
|
|
Image Segmentation (I8)
|
89% |
783
4.84 IPS |
|
|
Pose Estimation (F32)
|
100% |
144
0.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
144
0.58 IPS |
|
|
Pose Estimation (I8)
|
80% |
192
0.78 IPS |
|
|
Object Detection (F32)
|
100% |
471
16.5 IPS |
|
|
Object Detection (F16)
|
100% |
469
16.5 IPS |
|
|
Object Detection (I8)
|
52% |
494
17.3 IPS |
|
|
Face Detection (F32)
|
100% |
588
6.76 IPS |
|
|
Face Detection (F16)
|
100% |
586
6.74 IPS |
|
|
Face Detection (I8)
|
75% |
530
6.09 IPS |
|
|
Text Classification (F32)
|
100% |
532
210.3 IPS |
|
|
Text Classification (F16)
|
100% |
529
209.2 IPS |
|
|
Machine Translation (F32)
|
100% |
688
106.1 IPS |
|
|
Machine Translation (F16)
|
100% |
690
106.3 IPS |
