iPhone14,3
Geekbench ML Score
949
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 29 2021 01:49 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1 |
| 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% |
798
85.5 IPS |
|
|
Image Classification (F16)
|
100% |
769
82.3 IPS |
|
|
Image Classification (I8)
|
81% |
448
48.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1126
6.96 IPS |
|
|
Image Segmentation (F16)
|
100% |
1095
6.76 IPS |
|
|
Image Segmentation (I8)
|
89% |
1465
9.05 IPS |
|
|
Pose Estimation (F32)
|
100% |
434
1.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
425
1.72 IPS |
|
|
Pose Estimation (I8)
|
80% |
501
2.03 IPS |
|
|
Object Detection (F32)
|
100% |
1109
38.9 IPS |
|
|
Object Detection (F16)
|
100% |
1114
39.1 IPS |
|
|
Object Detection (I8)
|
52% |
744
26.1 IPS |
|
|
Face Detection (F32)
|
100% |
1359
15.6 IPS |
|
|
Face Detection (F16)
|
100% |
1335
15.3 IPS |
|
|
Face Detection (I8)
|
75% |
846
9.72 IPS |
|
|
Text Classification (F32)
|
100% |
1127
445.7 IPS |
|
|
Text Classification (F16)
|
100% |
1313
519.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1969
303.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1971
303.8 IPS |
