iPhone 11
Geekbench ML Score
316
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 11 2021 03:16 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| 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 | 3.77 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
198
21.2 IPS |
|
|
Image Classification (F16)
|
100% |
201
21.5 IPS |
|
|
Image Classification (I8)
|
81% |
185
19.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
375
2.31 IPS |
|
|
Image Segmentation (F16)
|
100% |
375
2.32 IPS |
|
|
Image Segmentation (I8)
|
89% |
521
3.22 IPS |
|
|
Pose Estimation (F32)
|
100% |
84
0.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
85
0.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
123
0.50 IPS |
|
|
Object Detection (F32)
|
100% |
325
11.4 IPS |
|
|
Object Detection (F16)
|
100% |
321
11.3 IPS |
|
|
Object Detection (I8)
|
52% |
323
11.3 IPS |
|
|
Face Detection (F32)
|
100% |
379
4.35 IPS |
|
|
Face Detection (F16)
|
100% |
390
4.49 IPS |
|
|
Face Detection (I8)
|
75% |
312
3.58 IPS |
|
|
Text Classification (F32)
|
100% |
1003
396.5 IPS |
|
|
Text Classification (F16)
|
100% |
1009
399.1 IPS |
|
|
Machine Translation (F32)
|
100% |
664
102.3 IPS |
|
|
Machine Translation (F16)
|
100% |
658
101.3 IPS |
