iPhone14,5
Geekbench ML Score
915
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 16 2021 01:42 AM |
| Views | 13 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| Model | iPhone14,5 |
| Model ID | iPhone14,5 |
| Motherboard | D17AP |
| 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 | 3.60 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
782
83.8 IPS |
|
|
Image Classification (F16)
|
100% |
756
81.0 IPS |
|
|
Image Classification (I8)
|
81% |
450
48.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1089
6.73 IPS |
|
|
Image Segmentation (F16)
|
100% |
1063
6.56 IPS |
|
|
Image Segmentation (I8)
|
89% |
1436
8.87 IPS |
|
|
Pose Estimation (F32)
|
100% |
400
1.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
395
1.60 IPS |
|
|
Pose Estimation (I8)
|
80% |
476
1.93 IPS |
|
|
Object Detection (F32)
|
100% |
1063
37.3 IPS |
|
|
Object Detection (F16)
|
100% |
1072
37.6 IPS |
|
|
Object Detection (I8)
|
52% |
702
24.6 IPS |
|
|
Face Detection (F32)
|
100% |
1336
15.3 IPS |
|
|
Face Detection (F16)
|
100% |
1292
14.8 IPS |
|
|
Face Detection (I8)
|
75% |
835
9.59 IPS |
|
|
Text Classification (F32)
|
100% |
1179
466.1 IPS |
|
|
Text Classification (F16)
|
100% |
1059
418.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1977
304.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1981
305.3 IPS |
