iPhone14,5
Geekbench ML Score
938
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 21 2021 07:41 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| Model | iPhone14,5 |
| Model ID | iPhone14,5 |
| Motherboard | D17AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 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% |
781
83.7 IPS |
|
|
Image Classification (F16)
|
100% |
734
78.6 IPS |
|
|
Image Classification (I8)
|
81% |
462
49.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1055
6.51 IPS |
|
|
Image Segmentation (F16)
|
100% |
1019
6.29 IPS |
|
|
Image Segmentation (I8)
|
89% |
1458
9.01 IPS |
|
|
Pose Estimation (F32)
|
100% |
390
1.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
395
1.60 IPS |
|
|
Pose Estimation (I8)
|
80% |
463
1.87 IPS |
|
|
Object Detection (F32)
|
100% |
1028
36.1 IPS |
|
|
Object Detection (F16)
|
100% |
1007
35.3 IPS |
|
|
Object Detection (I8)
|
52% |
778
27.3 IPS |
|
|
Face Detection (F32)
|
100% |
1266
14.5 IPS |
|
|
Face Detection (F16)
|
100% |
1221
14.0 IPS |
|
|
Face Detection (I8)
|
75% |
848
9.74 IPS |
|
|
Text Classification (F32)
|
100% |
1218
481.9 IPS |
|
|
Text Classification (F16)
|
100% |
2051
811.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1967
303.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1960
302.1 IPS |
