iPhone14,5
Geekbench ML Score
893
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 11:38 PM |
| Views | 2 |
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% |
761
81.5 IPS |
|
|
Image Classification (F16)
|
100% |
719
77.0 IPS |
|
|
Image Classification (I8)
|
81% |
460
49.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1025
6.33 IPS |
|
|
Image Segmentation (F16)
|
100% |
988
6.10 IPS |
|
|
Image Segmentation (I8)
|
89% |
1433
8.85 IPS |
|
|
Pose Estimation (F32)
|
100% |
383
1.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
377
1.52 IPS |
|
|
Pose Estimation (I8)
|
80% |
457
1.85 IPS |
|
|
Object Detection (F32)
|
100% |
990
34.7 IPS |
|
|
Object Detection (F16)
|
100% |
992
34.8 IPS |
|
|
Object Detection (I8)
|
52% |
757
26.6 IPS |
|
|
Face Detection (F32)
|
100% |
1214
14.0 IPS |
|
|
Face Detection (F16)
|
100% |
1181
13.6 IPS |
|
|
Face Detection (I8)
|
75% |
837
9.61 IPS |
|
|
Text Classification (F32)
|
100% |
1100
435.2 IPS |
|
|
Text Classification (F16)
|
100% |
1316
520.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1938
298.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1948
300.3 IPS |
