iPhone XS
Geekbench ML Score
1279
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 12 2021 07:41 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3155
338.1 IPS |
|
|
Image Classification (F16)
|
100% |
3064
328.3 IPS |
|
|
Image Classification (I8)
|
81% |
401
43.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1334
8.24 IPS |
|
|
Image Segmentation (F16)
|
100% |
1340
8.28 IPS |
|
|
Image Segmentation (I8)
|
89% |
728
4.50 IPS |
|
|
Pose Estimation (F32)
|
100% |
6873
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
7129
28.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
141
0.57 IPS |
|
|
Object Detection (F32)
|
94% |
3814
133.9 IPS |
|
|
Object Detection (F16)
|
94% |
3697
129.8 IPS |
|
|
Object Detection (I8)
|
52% |
567
19.9 IPS |
|
|
Face Detection (F32)
|
67% |
3420
39.3 IPS |
|
|
Face Detection (F16)
|
67% |
3338
38.4 IPS |
|
|
Face Detection (I8)
|
75% |
549
6.30 IPS |
|
|
Text Classification (F32)
|
100% |
259
102.5 IPS |
|
|
Text Classification (F16)
|
100% |
242
95.6 IPS |
|
|
Machine Translation (F32)
|
100% |
992
152.9 IPS |
|
|
Machine Translation (F16)
|
100% |
992
152.8 IPS |
