iPhone15,3
Geekbench ML Score
1484
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 02 2023 12:54 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.2 |
| Model | iPhone15,3 |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.01 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3063
328.2 IPS |
|
|
Image Classification (F16)
|
100% |
3503
375.3 IPS |
|
|
Image Classification (I8)
|
81% |
307
32.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1020
6.30 IPS |
|
|
Image Segmentation (F16)
|
100% |
1039
6.42 IPS |
|
|
Image Segmentation (I8)
|
89% |
562
3.47 IPS |
|
|
Pose Estimation (F32)
|
100% |
12723
51.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
13094
53.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
106
0.43 IPS |
|
|
Object Detection (F32)
|
100% |
5526
193.9 IPS |
|
|
Object Detection (F16)
|
100% |
3611
126.7 IPS |
|
|
Object Detection (I8)
|
52% |
436
15.3 IPS |
|
|
Face Detection (F32)
|
100% |
5955
68.4 IPS |
|
|
Face Detection (F16)
|
100% |
6107
70.2 IPS |
|
|
Face Detection (I8)
|
75% |
431
4.95 IPS |
|
|
Text Classification (F32)
|
100% |
666
263.4 IPS |
|
|
Text Classification (F16)
|
100% |
626
247.8 IPS |
|
|
Machine Translation (F32)
|
100% |
888
136.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1036
159.6 IPS |
