iPhone14,2
Geekbench ML Score
940
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 16 2021 01:42 AM |
| Views | 103 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| Model | iPhone14,2 |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| 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 | 5.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
771
82.6 IPS |
|
|
Image Classification (F16)
|
100% |
773
82.9 IPS |
|
|
Image Classification (I8)
|
81% |
452
48.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1104
6.82 IPS |
|
|
Image Segmentation (F16)
|
100% |
1082
6.68 IPS |
|
|
Image Segmentation (I8)
|
89% |
1447
8.94 IPS |
|
|
Pose Estimation (F32)
|
100% |
423
1.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
415
1.68 IPS |
|
|
Pose Estimation (I8)
|
80% |
482
1.95 IPS |
|
|
Object Detection (F32)
|
100% |
1094
38.4 IPS |
|
|
Object Detection (F16)
|
100% |
1090
38.3 IPS |
|
|
Object Detection (I8)
|
52% |
746
26.2 IPS |
|
|
Face Detection (F32)
|
100% |
1327
15.2 IPS |
|
|
Face Detection (F16)
|
100% |
1307
15.0 IPS |
|
|
Face Detection (I8)
|
75% |
856
9.83 IPS |
|
|
Text Classification (F32)
|
100% |
1189
470.4 IPS |
|
|
Text Classification (F16)
|
100% |
1296
512.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1961
302.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1972
303.9 IPS |
