iPhone15,5
Geekbench ML Score
3352
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 18 2024 12:59 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone15,5 |
| Model ID | iPhone15,5 |
| Motherboard | D38AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.43 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 | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7482
801.7 IPS |
|
|
Image Classification (F16)
|
100% |
7601
814.4 IPS |
|
|
Image Classification (I8)
|
81% |
743
79.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2701
16.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2601
16.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
1363
8.42 IPS |
|
|
Pose Estimation (F32)
|
100% |
26675
107.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
26870
108.7 IPS |
|
|
Pose Estimation (I8)
|
80% |
259
1.05 IPS |
|
|
Object Detection (F32)
|
100% |
8875
311.5 IPS |
|
|
Object Detection (F16)
|
100% |
8580
301.1 IPS |
|
|
Object Detection (I8)
|
52% |
1067
37.4 IPS |
|
|
Face Detection (F32)
|
100% |
10885
125.1 IPS |
|
|
Face Detection (F16)
|
100% |
11005
126.4 IPS |
|
|
Face Detection (I8)
|
75% |
1049
12.1 IPS |
|
|
Text Classification (F32)
|
100% |
1550
612.9 IPS |
|
|
Text Classification (F16)
|
100% |
1527
604.0 IPS |
|
|
Machine Translation (F32)
|
100% |
2299
354.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2302
354.8 IPS |
