iPhone 11 Pro
Geekbench ML Score
1756
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 17 2022 11:13 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| 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 | 3.68 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4112
440.6 IPS |
|
|
Image Classification (F16)
|
100% |
4191
449.1 IPS |
|
|
Image Classification (I8)
|
81% |
449
48.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1630
10.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1627
10.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
838
5.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
8544
34.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
8773
35.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
154
0.62 IPS |
|
|
Object Detection (F32)
|
94% |
5101
179.0 IPS |
|
|
Object Detection (F16)
|
94% |
5004
175.6 IPS |
|
|
Object Detection (I8)
|
52% |
641
22.5 IPS |
|
|
Face Detection (F32)
|
67% |
5232
60.1 IPS |
|
|
Face Detection (F16)
|
67% |
5257
60.4 IPS |
|
|
Face Detection (I8)
|
75% |
635
7.30 IPS |
|
|
Text Classification (F32)
|
100% |
750
296.7 IPS |
|
|
Text Classification (F16)
|
100% |
728
287.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1194
184.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1201
185.1 IPS |
