iPhone 12 Pro
Geekbench ML Score
664
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 15 2021 10:06 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.7.1 |
| Model | iPhone 12 Pro |
| Model ID | iPhone13,3 |
| Motherboard | D53pAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 5.60 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
613
65.6 IPS |
|
|
Image Classification (F16)
|
100% |
573
61.4 IPS |
|
|
Image Classification (I8)
|
81% |
225
24.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
889
5.49 IPS |
|
|
Image Segmentation (F16)
|
100% |
837
5.17 IPS |
|
|
Image Segmentation (I8)
|
89% |
1238
7.65 IPS |
|
|
Pose Estimation (F32)
|
100% |
288
1.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
277
1.12 IPS |
|
|
Pose Estimation (I8)
|
80% |
368
1.49 IPS |
|
|
Object Detection (F32)
|
100% |
838
29.4 IPS |
|
|
Object Detection (F16)
|
100% |
843
29.6 IPS |
|
|
Object Detection (I8)
|
52% |
428
15.0 IPS |
|
|
Face Detection (F32)
|
100% |
988
11.3 IPS |
|
|
Face Detection (F16)
|
100% |
934
10.7 IPS |
|
|
Face Detection (I8)
|
75% |
693
7.97 IPS |
|
|
Text Classification (F32)
|
100% |
568
224.5 IPS |
|
|
Text Classification (F16)
|
100% |
610
241.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1729
266.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1726
266.0 IPS |
