iPhone14,6
Geekbench ML Score
733
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 06 2024 12:28 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone14,6 |
| Model ID | iPhone14,6 |
| Motherboard | D49AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 1.38 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 | 3.80 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
465
49.8 IPS |
|
|
Image Classification (F16)
|
100% |
455
48.8 IPS |
|
|
Image Classification (I8)
|
81% |
919
98.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
595
3.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
594
3.67 IPS |
|
|
Image Segmentation (I8)
|
89% |
1445
8.92 IPS |
|
|
Pose Estimation (F32)
|
100% |
253
1.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
330
1.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
385
1.56 IPS |
|
|
Object Detection (F32)
|
100% |
769
27.0 IPS |
|
|
Object Detection (F16)
|
100% |
754
26.5 IPS |
|
|
Object Detection (I8)
|
52% |
1134
39.8 IPS |
|
|
Face Detection (F32)
|
100% |
861
9.89 IPS |
|
|
Face Detection (F16)
|
100% |
874
10.0 IPS |
|
|
Face Detection (I8)
|
75% |
1139
13.1 IPS |
|
|
Text Classification (F32)
|
100% |
1322
522.7 IPS |
|
|
Text Classification (F16)
|
100% |
1299
513.9 IPS |
|
|
Machine Translation (F32)
|
100% |
949
146.2 IPS |
|
|
Machine Translation (F16)
|
100% |
944
145.5 IPS |
