iPhone 11
Geekbench ML Score
715
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 16 2023 09:47 AM |
| Views | 1 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
547
58.6 IPS |
|
|
Image Classification (F16)
|
100% |
543
58.2 IPS |
|
|
Image Classification (I8)
|
81% |
299
32.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
881
5.44 IPS |
|
|
Image Segmentation (F16)
|
100% |
867
5.36 IPS |
|
|
Image Segmentation (I8)
|
89% |
1108
6.85 IPS |
|
|
Pose Estimation (F32)
|
100% |
277
1.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
273
1.11 IPS |
|
|
Pose Estimation (I8)
|
80% |
337
1.36 IPS |
|
|
Object Detection (F32)
|
100% |
783
27.5 IPS |
|
|
Object Detection (F16)
|
100% |
784
27.5 IPS |
|
|
Object Detection (I8)
|
52% |
580
20.4 IPS |
|
|
Face Detection (F32)
|
100% |
1005
11.5 IPS |
|
|
Face Detection (F16)
|
100% |
992
11.4 IPS |
|
|
Face Detection (I8)
|
75% |
717
8.24 IPS |
|
|
Text Classification (F32)
|
100% |
1559
616.8 IPS |
|
|
Text Classification (F16)
|
100% |
1592
629.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1191
183.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1189
183.2 IPS |
