iPhone14,6
Geekbench ML Score
876
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 26 2022 03:03 AM |
| Views | 2 |
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 | 3.22 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% |
733
78.6 IPS |
|
|
Image Classification (F16)
|
100% |
704
75.5 IPS |
|
|
Image Classification (I8)
|
81% |
453
48.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1038
6.41 IPS |
|
|
Image Segmentation (F16)
|
100% |
992
6.13 IPS |
|
|
Image Segmentation (I8)
|
89% |
1449
8.95 IPS |
|
|
Pose Estimation (F32)
|
100% |
378
1.53 IPS |
|
|
Pose Estimation (F16)
|
100% |
385
1.56 IPS |
|
|
Pose Estimation (I8)
|
80% |
463
1.87 IPS |
|
|
Object Detection (F32)
|
100% |
990
34.7 IPS |
|
|
Object Detection (F16)
|
100% |
990
34.7 IPS |
|
|
Object Detection (I8)
|
52% |
748
26.2 IPS |
|
|
Face Detection (F32)
|
100% |
1231
14.1 IPS |
|
|
Face Detection (F16)
|
100% |
1195
13.7 IPS |
|
|
Face Detection (I8)
|
75% |
841
9.66 IPS |
|
|
Text Classification (F32)
|
100% |
987
390.2 IPS |
|
|
Text Classification (F16)
|
100% |
1014
401.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1958
301.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1957
301.7 IPS |
