iPhone14,6
Geekbench ML Score
893
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 26 2022 10:45 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% |
758
81.2 IPS |
|
|
Image Classification (F16)
|
100% |
722
77.4 IPS |
|
|
Image Classification (I8)
|
81% |
457
48.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1086
6.71 IPS |
|
|
Image Segmentation (F16)
|
100% |
1010
6.24 IPS |
|
|
Image Segmentation (I8)
|
89% |
1443
8.91 IPS |
|
|
Pose Estimation (F32)
|
100% |
401
1.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
393
1.59 IPS |
|
|
Pose Estimation (I8)
|
80% |
466
1.89 IPS |
|
|
Object Detection (F32)
|
100% |
1003
35.2 IPS |
|
|
Object Detection (F16)
|
100% |
1009
35.4 IPS |
|
|
Object Detection (I8)
|
52% |
781
27.4 IPS |
|
|
Face Detection (F32)
|
100% |
1251
14.4 IPS |
|
|
Face Detection (F16)
|
100% |
1223
14.1 IPS |
|
|
Face Detection (I8)
|
75% |
847
9.73 IPS |
|
|
Text Classification (F32)
|
100% |
984
389.2 IPS |
|
|
Text Classification (F16)
|
100% |
1048
414.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1946
299.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1949
300.3 IPS |
