iPhone14,3
Geekbench ML Score
946
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 24 2021 01:23 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| Model | iPhone14,3 |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.24 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 | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
793
85.0 IPS |
|
|
Image Classification (F16)
|
100% |
761
81.6 IPS |
|
|
Image Classification (I8)
|
81% |
461
49.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1104
6.82 IPS |
|
|
Image Segmentation (F16)
|
100% |
1095
6.76 IPS |
|
|
Image Segmentation (I8)
|
89% |
1468
9.07 IPS |
|
|
Pose Estimation (F32)
|
100% |
437
1.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
430
1.74 IPS |
|
|
Pose Estimation (I8)
|
80% |
500
2.02 IPS |
|
|
Object Detection (F32)
|
100% |
1114
39.1 IPS |
|
|
Object Detection (F16)
|
100% |
1122
39.4 IPS |
|
|
Object Detection (I8)
|
52% |
770
27.0 IPS |
|
|
Face Detection (F32)
|
100% |
1339
15.4 IPS |
|
|
Face Detection (F16)
|
100% |
1317
15.1 IPS |
|
|
Face Detection (I8)
|
75% |
854
9.81 IPS |
|
|
Text Classification (F32)
|
100% |
1085
429.0 IPS |
|
|
Text Classification (F16)
|
100% |
1239
490.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1970
303.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1967
303.2 IPS |
