iPhone 11 Pro
Geekbench ML Score
1636
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 11 2021 02:44 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.5 |
| Model | iPhone 11 Pro |
| Model ID | iPhone12,3 |
| Motherboard | D421AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| L1 Instruction Cache | 96.0 KB x 1 |
| L1 Data Cache | 48.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.69 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3179
340.6 IPS |
|
|
Image Classification (F16)
|
100% |
3190
341.8 IPS |
|
|
Image Classification (I8)
|
81% |
450
48.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1570
9.70 IPS |
|
|
Image Segmentation (F16)
|
100% |
1567
9.68 IPS |
|
|
Image Segmentation (I8)
|
89% |
838
5.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
8723
35.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
8642
35.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
154
0.62 IPS |
|
|
Object Detection (F32)
|
94% |
5073
178.0 IPS |
|
|
Object Detection (F16)
|
94% |
4986
175.0 IPS |
|
|
Object Detection (I8)
|
52% |
640
22.5 IPS |
|
|
Face Detection (F32)
|
67% |
3739
43.0 IPS |
|
|
Face Detection (F16)
|
67% |
3754
43.1 IPS |
|
|
Face Detection (I8)
|
75% |
636
7.31 IPS |
|
|
Text Classification (F32)
|
100% |
708
279.8 IPS |
|
|
Text Classification (F16)
|
100% |
703
278.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1212
186.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1213
186.9 IPS |
