iPhone 11
Geekbench ML Score
1182
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 29 2023 02:15 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| 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% |
2898
310.5 IPS |
|
|
Image Classification (F16)
|
100% |
2956
316.7 IPS |
|
|
Image Classification (I8)
|
81% |
283
30.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
977
6.04 IPS |
|
|
Image Segmentation (F16)
|
100% |
983
6.07 IPS |
|
|
Image Segmentation (I8)
|
89% |
536
3.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
5515
22.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
6190
25.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
98
0.40 IPS |
|
|
Object Detection (F32)
|
94% |
3469
121.7 IPS |
|
|
Object Detection (F16)
|
94% |
3381
118.7 IPS |
|
|
Object Detection (I8)
|
52% |
401
14.1 IPS |
|
|
Face Detection (F32)
|
67% |
3989
45.8 IPS |
|
|
Face Detection (F16)
|
67% |
3983
45.8 IPS |
|
|
Face Detection (I8)
|
75% |
393
4.52 IPS |
|
|
Text Classification (F32)
|
100% |
678
268.1 IPS |
|
|
Text Classification (F16)
|
100% |
681
269.5 IPS |
|
|
Machine Translation (F32)
|
100% |
657
101.2 IPS |
|
|
Machine Translation (F16)
|
100% |
654
100.7 IPS |
