iPhone14,6
Geekbench ML Score
919
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | April 27 2024 08:12 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.1 |
| Model | iPhone14,6 |
| Model ID | iPhone14,6 |
| Motherboard | D49AP |
| 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 | 3.80 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
760
81.4 IPS |
|
|
Image Classification (F16)
|
100% |
754
80.8 IPS |
|
|
Image Classification (I8)
|
81% |
451
48.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1092
6.75 IPS |
|
|
Image Segmentation (F16)
|
100% |
1045
6.45 IPS |
|
|
Image Segmentation (I8)
|
89% |
1457
9.00 IPS |
|
|
Pose Estimation (F32)
|
100% |
405
1.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
396
1.60 IPS |
|
|
Pose Estimation (I8)
|
80% |
467
1.89 IPS |
|
|
Object Detection (F32)
|
100% |
1008
35.4 IPS |
|
|
Object Detection (F16)
|
100% |
1021
35.8 IPS |
|
|
Object Detection (I8)
|
52% |
753
26.4 IPS |
|
|
Face Detection (F32)
|
100% |
1290
14.8 IPS |
|
|
Face Detection (F16)
|
100% |
1239
14.2 IPS |
|
|
Face Detection (I8)
|
75% |
839
9.64 IPS |
|
|
Text Classification (F32)
|
100% |
1291
510.4 IPS |
|
|
Text Classification (F16)
|
100% |
1106
437.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2046
315.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2062
317.7 IPS |
