iPhone15,2
Geekbench ML Score
2525
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 08 2022 08:44 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1.2 |
| Model | iPhone15,2 |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.45 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 | 5.51 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2923
313.2 IPS |
|
|
Image Classification (F16)
|
100% |
4555
488.0 IPS |
|
|
Image Classification (I8)
|
81% |
745
79.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
6505
40.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
9381
57.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
1365
8.43 IPS |
|
|
Pose Estimation (F32)
|
100% |
2432
9.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
5147
20.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
259
1.05 IPS |
|
|
Object Detection (F32)
|
100% |
3333
117.0 IPS |
|
|
Object Detection (F16)
|
100% |
3634
127.5 IPS |
|
|
Object Detection (I8)
|
52% |
1068
37.5 IPS |
|
|
Face Detection (F32)
|
100% |
5954
68.4 IPS |
|
|
Face Detection (F16)
|
97% |
10070
115.7 IPS |
|
|
Face Detection (I8)
|
75% |
1046
12.0 IPS |
|
|
Text Classification (F32)
|
100% |
1874
741.4 IPS |
|
|
Text Classification (F16)
|
100% |
2068
817.8 IPS |
|
|
Machine Translation (F32)
|
100% |
2283
351.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2291
353.1 IPS |
