iPhone 11 Pro
Geekbench ML Score
547
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 03 2021 10:28 AM |
| 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% |
305
32.7 IPS |
|
|
Image Classification (F16)
|
100% |
318
34.1 IPS |
|
|
Image Classification (I8)
|
81% |
320
34.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
734
4.53 IPS |
|
|
Image Segmentation (F16)
|
100% |
712
4.40 IPS |
|
|
Image Segmentation (I8)
|
89% |
684
4.22 IPS |
|
|
Pose Estimation (F32)
|
100% |
149
0.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
181
0.73 IPS |
|
|
Pose Estimation (I8)
|
80% |
262
1.06 IPS |
|
|
Object Detection (F32)
|
100% |
348
12.2 IPS |
|
|
Object Detection (F16)
|
100% |
635
22.3 IPS |
|
|
Object Detection (I8)
|
52% |
431
15.1 IPS |
|
|
Face Detection (F32)
|
100% |
580
6.66 IPS |
|
|
Face Detection (F16)
|
100% |
687
7.90 IPS |
|
|
Face Detection (I8)
|
75% |
673
7.74 IPS |
|
|
Text Classification (F32)
|
100% |
2006
793.6 IPS |
|
|
Text Classification (F16)
|
100% |
2003
792.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1184
182.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1136
175.1 IPS |
