iPhone 11 Pro
Geekbench ML Score
1626
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 17 2021 12:36 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.8 |
| Model | iPhone 11 Pro |
| Model ID | iPhone12,3 |
| Motherboard | D421AP |
| 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 | 3.69 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3077
329.7 IPS |
|
|
Image Classification (F16)
|
100% |
3100
332.1 IPS |
|
|
Image Classification (I8)
|
81% |
449
48.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1570
9.70 IPS |
|
|
Image Segmentation (F16)
|
100% |
1575
9.73 IPS |
|
|
Image Segmentation (I8)
|
89% |
829
5.12 IPS |
|
|
Pose Estimation (F32)
|
100% |
8565
34.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
8600
34.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
154
0.62 IPS |
|
|
Object Detection (F32)
|
94% |
5029
176.5 IPS |
|
|
Object Detection (F16)
|
94% |
4919
172.6 IPS |
|
|
Object Detection (I8)
|
52% |
640
22.5 IPS |
|
|
Face Detection (F32)
|
67% |
3931
45.2 IPS |
|
|
Face Detection (F16)
|
67% |
3692
42.4 IPS |
|
|
Face Detection (I8)
|
75% |
636
7.30 IPS |
|
|
Text Classification (F32)
|
100% |
701
277.4 IPS |
|
|
Text Classification (F16)
|
100% |
697
275.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1206
185.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1201
185.1 IPS |
