iPhone 12
Geekbench ML Score
860
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 09 2024 06:17 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone 12 |
| Model ID | iPhone13,2 |
| Motherboard | D53gAP |
| 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 | 3.60 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
647
69.3 IPS |
|
|
Image Classification (F16)
|
100% |
613
65.6 IPS |
|
|
Image Classification (I8)
|
81% |
411
44.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
992
6.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
941
5.81 IPS |
|
|
Image Segmentation (I8)
|
89% |
1346
8.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
338
1.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
326
1.32 IPS |
|
|
Pose Estimation (I8)
|
80% |
413
1.67 IPS |
|
|
Object Detection (F32)
|
100% |
866
30.4 IPS |
|
|
Object Detection (F16)
|
100% |
872
30.6 IPS |
|
|
Object Detection (I8)
|
52% |
681
23.9 IPS |
|
|
Face Detection (F32)
|
100% |
1019
11.7 IPS |
|
|
Face Detection (F16)
|
100% |
999
11.5 IPS |
|
|
Face Detection (I8)
|
75% |
809
9.29 IPS |
|
|
Text Classification (F32)
|
100% |
2370
937.3 IPS |
|
|
Text Classification (F16)
|
100% |
2322
918.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1628
250.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1635
252.0 IPS |
