iPhone14,3
Geekbench ML Score
945
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 23 2021 03:29 AM |
| Views | 2 |
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 | 3.22 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 | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
778
83.4 IPS |
|
|
Image Classification (F16)
|
100% |
773
82.9 IPS |
|
|
Image Classification (I8)
|
81% |
457
49.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1118
6.91 IPS |
|
|
Image Segmentation (F16)
|
100% |
1084
6.70 IPS |
|
|
Image Segmentation (I8)
|
89% |
1466
9.05 IPS |
|
|
Pose Estimation (F32)
|
100% |
435
1.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
429
1.73 IPS |
|
|
Pose Estimation (I8)
|
80% |
498
2.01 IPS |
|
|
Object Detection (F32)
|
100% |
1096
38.5 IPS |
|
|
Object Detection (F16)
|
100% |
1097
38.5 IPS |
|
|
Object Detection (I8)
|
52% |
750
26.3 IPS |
|
|
Face Detection (F32)
|
100% |
1337
15.4 IPS |
|
|
Face Detection (F16)
|
100% |
1310
15.1 IPS |
|
|
Face Detection (I8)
|
75% |
854
9.81 IPS |
|
|
Text Classification (F32)
|
100% |
1100
435.2 IPS |
|
|
Text Classification (F16)
|
100% |
1314
519.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1972
303.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1970
303.6 IPS |
