iPhone 12 Pro
Geekbench ML Score
935
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 10 2023 05:08 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.2 |
| 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 | 5.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
726
77.7 IPS |
|
|
Image Classification (F16)
|
100% |
698
74.7 IPS |
|
|
Image Classification (I8)
|
81% |
408
43.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1019
6.29 IPS |
|
|
Image Segmentation (F16)
|
100% |
990
6.12 IPS |
|
|
Image Segmentation (I8)
|
89% |
1379
8.52 IPS |
|
|
Pose Estimation (F32)
|
100% |
371
1.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
363
1.47 IPS |
|
|
Pose Estimation (I8)
|
80% |
434
1.76 IPS |
|
|
Object Detection (F32)
|
100% |
978
34.3 IPS |
|
|
Object Detection (F16)
|
100% |
975
34.2 IPS |
|
|
Object Detection (I8)
|
52% |
716
25.1 IPS |
|
|
Face Detection (F32)
|
100% |
1143
13.1 IPS |
|
|
Face Detection (F16)
|
100% |
1119
12.9 IPS |
|
|
Face Detection (I8)
|
75% |
821
9.43 IPS |
|
|
Text Classification (F32)
|
100% |
2779
1.10 KIPS |
|
|
Text Classification (F16)
|
100% |
2771
1.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
1743
268.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1738
267.8 IPS |
