iPhone17,1
Geekbench ML Score
4543
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 10 2024 01:20 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| Model | iPhone17,1 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 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 | 7.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
11191
1.20 KIPS |
|
|
Image Classification (F16)
|
100% |
11343
1.22 KIPS |
|
|
Image Classification (I8)
|
81% |
988
105.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
4243
26.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
4077
25.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
1776
11.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
40625
164.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
39898
161.4 IPS |
|
|
Pose Estimation (I8)
|
80% |
302
1.22 IPS |
|
|
Object Detection (F32)
|
100% |
10333
362.6 IPS |
|
|
Object Detection (F16)
|
100% |
10019
351.6 IPS |
|
|
Object Detection (I8)
|
52% |
1386
48.6 IPS |
|
|
Face Detection (F32)
|
100% |
13106
150.6 IPS |
|
|
Face Detection (F16)
|
100% |
13019
149.6 IPS |
|
|
Face Detection (I8)
|
75% |
1407
16.2 IPS |
|
|
Text Classification (F32)
|
100% |
2244
887.4 IPS |
|
|
Text Classification (F16)
|
100% |
2254
891.6 IPS |
|
|
Machine Translation (F32)
|
100% |
3063
472.1 IPS |
|
|
Machine Translation (F16)
|
100% |
3071
473.3 IPS |
