iPhone17,1
Geekbench ML Score
1473
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 15 2024 12:24 AM |
| Views | 1 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1193
127.8 IPS |
|
|
Image Classification (F16)
|
100% |
1183
126.8 IPS |
|
|
Image Classification (I8)
|
81% |
176
18.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1922
11.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1848
11.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
1744
10.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
550
2.22 IPS |
|
|
Pose Estimation (F16)
|
100% |
541
2.19 IPS |
|
|
Pose Estimation (I8)
|
80% |
724
2.93 IPS |
|
|
Object Detection (F32)
|
100% |
1660
58.3 IPS |
|
|
Object Detection (F16)
|
100% |
1686
59.2 IPS |
|
|
Object Detection (I8)
|
52% |
947
33.2 IPS |
|
|
Face Detection (F32)
|
100% |
2132
24.5 IPS |
|
|
Face Detection (F16)
|
100% |
2050
23.5 IPS |
|
|
Face Detection (I8)
|
75% |
1205
13.8 IPS |
|
|
Text Classification (F32)
|
100% |
5960
2.36 KIPS |
|
|
Text Classification (F16)
|
100% |
5972
2.36 KIPS |
|
|
Machine Translation (F32)
|
100% |
3098
477.5 IPS |
|
|
Machine Translation (F16)
|
100% |
3101
477.9 IPS |
