iPhone14,7
Geekbench ML Score
1347
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 31 2023 03:12 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6 |
| Model | iPhone14,7 |
| Model ID | iPhone14,7 |
| Motherboard | D27AP |
| 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 | 5.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3068
328.7 IPS |
|
|
Image Classification (F16)
|
100% |
3057
327.5 IPS |
|
|
Image Classification (I8)
|
81% |
297
31.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
984
6.08 IPS |
|
|
Image Segmentation (F16)
|
100% |
998
6.16 IPS |
|
|
Image Segmentation (I8)
|
89% |
541
3.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
10392
42.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
10334
41.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
103
0.42 IPS |
|
|
Object Detection (F32)
|
100% |
3797
133.3 IPS |
|
|
Object Detection (F16)
|
100% |
3788
132.9 IPS |
|
|
Object Detection (I8)
|
52% |
426
14.9 IPS |
|
|
Face Detection (F32)
|
100% |
4432
50.9 IPS |
|
|
Face Detection (F16)
|
100% |
4429
50.9 IPS |
|
|
Face Detection (I8)
|
75% |
418
4.80 IPS |
|
|
Text Classification (F32)
|
100% |
620
245.3 IPS |
|
|
Text Classification (F16)
|
100% |
624
246.7 IPS |
|
|
Machine Translation (F32)
|
100% |
955
147.2 IPS |
|
|
Machine Translation (F16)
|
100% |
949
146.2 IPS |
