iPhone 11
Geekbench ML Score
1390
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 17 2022 02:10 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.5 |
| 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% |
1380
147.9 IPS |
|
|
Image Classification (F16)
|
100% |
1587
170.0 IPS |
|
|
Image Classification (I8)
|
81% |
448
48.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
3408
21.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
5282
32.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
827
5.11 IPS |
|
|
Pose Estimation (F32)
|
100% |
1416
5.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
4414
17.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
153
0.62 IPS |
|
|
Object Detection (F32)
|
100% |
1577
55.3 IPS |
|
|
Object Detection (F16)
|
99% |
1865
65.5 IPS |
|
|
Object Detection (I8)
|
52% |
640
22.5 IPS |
|
|
Face Detection (F32)
|
100% |
3618
41.6 IPS |
|
|
Face Detection (F16)
|
97% |
5257
60.4 IPS |
|
|
Face Detection (I8)
|
75% |
631
7.25 IPS |
|
|
Text Classification (F32)
|
100% |
968
382.9 IPS |
|
|
Text Classification (F16)
|
98% |
1203
476.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1198
184.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1198
184.7 IPS |
