iPhone15,3
Geekbench ML Score
995
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 08 2024 09:48 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.2 |
| Model | iPhone15,3 |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| 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 | 5.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
823
88.2 IPS |
|
|
Image Classification (F16)
|
100% |
807
86.4 IPS |
|
|
Image Classification (I8)
|
81% |
477
51.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1289
7.96 IPS |
|
|
Image Segmentation (F16)
|
100% |
1205
7.44 IPS |
|
|
Image Segmentation (I8)
|
89% |
1492
9.22 IPS |
|
|
Pose Estimation (F32)
|
100% |
471
1.91 IPS |
|
|
Pose Estimation (F16)
|
100% |
465
1.88 IPS |
|
|
Pose Estimation (I8)
|
80% |
534
2.16 IPS |
|
|
Object Detection (F32)
|
100% |
1192
41.8 IPS |
|
|
Object Detection (F16)
|
100% |
1193
41.9 IPS |
|
|
Object Detection (I8)
|
52% |
763
26.8 IPS |
|
|
Face Detection (F32)
|
100% |
1492
17.1 IPS |
|
|
Face Detection (F16)
|
100% |
1470
16.9 IPS |
|
|
Face Detection (I8)
|
75% |
857
9.85 IPS |
|
|
Text Classification (F32)
|
100% |
1037
410.0 IPS |
|
|
Text Classification (F16)
|
100% |
997
394.2 IPS |
|
|
Machine Translation (F32)
|
100% |
2259
348.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2257
347.9 IPS |
