iPhone 12 Pro
Geekbench ML Score
593
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | April 01 2025 08:14 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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 | 5.58 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
427
45.7 IPS |
|
|
Image Classification (F16)
|
100% |
427
45.8 IPS |
|
|
Image Classification (I8)
|
81% |
251
26.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
541
3.34 IPS |
|
|
Image Segmentation (F16)
|
100% |
538
3.32 IPS |
|
|
Image Segmentation (I8)
|
89% |
1182
7.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
266
1.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
299
1.21 IPS |
|
|
Pose Estimation (I8)
|
80% |
351
1.42 IPS |
|
|
Object Detection (F32)
|
100% |
672
23.6 IPS |
|
|
Object Detection (F16)
|
100% |
672
23.6 IPS |
|
|
Object Detection (I8)
|
52% |
642
22.5 IPS |
|
|
Face Detection (F32)
|
100% |
781
8.97 IPS |
|
|
Face Detection (F16)
|
100% |
784
9.01 IPS |
|
|
Face Detection (I8)
|
75% |
918
10.5 IPS |
|
|
Text Classification (F32)
|
100% |
1050
415.3 IPS |
|
|
Text Classification (F16)
|
100% |
1057
417.9 IPS |
|
|
Machine Translation (F32)
|
100% |
777
119.7 IPS |
|
|
Machine Translation (F16)
|
100% |
790
121.7 IPS |
