iPhone 11
Geekbench ML Score
1390
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 02 2023 12:28 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3.1 |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1220
130.8 IPS |
|
|
Image Classification (F16)
|
100% |
1585
169.8 IPS |
|
|
Image Classification (I8)
|
81% |
448
48.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
3473
21.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
5338
33.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
837
5.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
1419
5.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
4427
17.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
154
0.62 IPS |
|
|
Object Detection (F32)
|
100% |
1630
57.2 IPS |
|
|
Object Detection (F16)
|
99% |
1872
65.7 IPS |
|
|
Object Detection (I8)
|
52% |
642
22.5 IPS |
|
|
Face Detection (F32)
|
100% |
3619
41.6 IPS |
|
|
Face Detection (F16)
|
97% |
5212
59.9 IPS |
|
|
Face Detection (I8)
|
75% |
635
7.30 IPS |
|
|
Text Classification (F32)
|
100% |
966
382.3 IPS |
|
|
Text Classification (F16)
|
98% |
1206
476.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1208
186.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1218
187.7 IPS |
