iPhone 11
Geekbench ML Score
1392
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 22 2021 08:53 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1475
158.1 IPS |
|
|
Image Classification (F16)
|
100% |
1549
166.0 IPS |
|
|
Image Classification (I8)
|
81% |
449
48.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
3422
21.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
5587
34.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
835
5.16 IPS |
|
|
Pose Estimation (F32)
|
100% |
1421
5.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
4401
17.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
153
0.62 IPS |
|
|
Object Detection (F32)
|
100% |
1604
56.3 IPS |
|
|
Object Detection (F16)
|
99% |
1845
64.8 IPS |
|
|
Object Detection (I8)
|
52% |
639
22.4 IPS |
|
|
Face Detection (F32)
|
100% |
3599
41.3 IPS |
|
|
Face Detection (F16)
|
97% |
5255
60.4 IPS |
|
|
Face Detection (I8)
|
75% |
634
7.28 IPS |
|
|
Text Classification (F32)
|
100% |
918
363.3 IPS |
|
|
Text Classification (F16)
|
98% |
1148
454.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1206
185.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1196
184.4 IPS |
