iPhone 11
Geekbench ML Score
1789
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 16 2023 09:56 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0.2 |
| Model | iPhone 11 |
| Model ID | iPhone12,1 |
| Motherboard | N104AP |
| 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 | 3.76 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4479
479.9 IPS |
|
|
Image Classification (F16)
|
100% |
4473
479.3 IPS |
|
|
Image Classification (I8)
|
81% |
449
48.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1485
9.17 IPS |
|
|
Image Segmentation (F16)
|
100% |
1484
9.17 IPS |
|
|
Image Segmentation (I8)
|
89% |
838
5.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
8610
34.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
8721
35.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
154
0.62 IPS |
|
|
Object Detection (F32)
|
94% |
4976
174.6 IPS |
|
|
Object Detection (F16)
|
94% |
4928
172.9 IPS |
|
|
Object Detection (I8)
|
52% |
633
22.2 IPS |
|
|
Face Detection (F32)
|
67% |
5769
66.3 IPS |
|
|
Face Detection (F16)
|
67% |
5791
66.5 IPS |
|
|
Face Detection (I8)
|
75% |
635
7.30 IPS |
|
|
Text Classification (F32)
|
100% |
835
330.3 IPS |
|
|
Text Classification (F16)
|
100% |
840
332.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1193
183.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1191
183.6 IPS |
