iPhone14,6
Geekbench ML Score
898
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 06 2022 10:07 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4 |
| Model | iPhone14,6 |
| Model ID | iPhone14,6 |
| Motherboard | D49AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 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 | 3.79 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
766
82.0 IPS |
|
|
Image Classification (F16)
|
100% |
735
78.8 IPS |
|
|
Image Classification (I8)
|
81% |
435
46.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1065
6.58 IPS |
|
|
Image Segmentation (F16)
|
100% |
1031
6.37 IPS |
|
|
Image Segmentation (I8)
|
89% |
1417
8.75 IPS |
|
|
Pose Estimation (F32)
|
100% |
401
1.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
391
1.58 IPS |
|
|
Pose Estimation (I8)
|
80% |
469
1.90 IPS |
|
|
Object Detection (F32)
|
100% |
1027
36.0 IPS |
|
|
Object Detection (F16)
|
100% |
1041
36.5 IPS |
|
|
Object Detection (I8)
|
52% |
721
25.3 IPS |
|
|
Face Detection (F32)
|
100% |
1291
14.8 IPS |
|
|
Face Detection (F16)
|
100% |
1253
14.4 IPS |
|
|
Face Detection (I8)
|
75% |
837
9.61 IPS |
|
|
Text Classification (F32)
|
100% |
1126
445.2 IPS |
|
|
Text Classification (F16)
|
100% |
1049
415.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1951
300.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1957
301.7 IPS |
