iPhone 11 Pro
Geekbench ML Score
726
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 08:02 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| 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 | 3.68 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
556
59.6 IPS |
|
|
Image Classification (F16)
|
100% |
548
58.7 IPS |
|
|
Image Classification (I8)
|
81% |
325
34.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
895
5.53 IPS |
|
|
Image Segmentation (F16)
|
100% |
884
5.46 IPS |
|
|
Image Segmentation (I8)
|
89% |
1119
6.91 IPS |
|
|
Pose Estimation (F32)
|
100% |
292
1.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
291
1.18 IPS |
|
|
Pose Estimation (I8)
|
80% |
350
1.42 IPS |
|
|
Object Detection (F32)
|
100% |
740
26.0 IPS |
|
|
Object Detection (F16)
|
100% |
615
21.6 IPS |
|
|
Object Detection (I8)
|
52% |
611
21.4 IPS |
|
|
Face Detection (F32)
|
100% |
866
9.95 IPS |
|
|
Face Detection (F16)
|
100% |
896
10.3 IPS |
|
|
Face Detection (I8)
|
75% |
711
8.17 IPS |
|
|
Text Classification (F32)
|
100% |
2000
791.0 IPS |
|
|
Text Classification (F16)
|
100% |
1997
790.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1210
186.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1202
185.3 IPS |
