iPhone15,3
Geekbench ML Score
893
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 22 2023 01:00 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3.1 |
| Model | iPhone15,3 |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.44 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 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
775
83.1 IPS |
|
|
Image Classification (F16)
|
100% |
759
81.3 IPS |
|
|
Image Classification (I8)
|
81% |
350
37.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1179
7.28 IPS |
|
|
Image Segmentation (F16)
|
100% |
1121
6.92 IPS |
|
|
Image Segmentation (I8)
|
89% |
1400
8.65 IPS |
|
|
Pose Estimation (F32)
|
100% |
399
1.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
390
1.58 IPS |
|
|
Pose Estimation (I8)
|
80% |
474
1.92 IPS |
|
|
Object Detection (F32)
|
100% |
1120
39.3 IPS |
|
|
Object Detection (F16)
|
100% |
1102
38.7 IPS |
|
|
Object Detection (I8)
|
52% |
576
20.2 IPS |
|
|
Face Detection (F32)
|
100% |
1393
16.0 IPS |
|
|
Face Detection (F16)
|
100% |
1353
15.5 IPS |
|
|
Face Detection (I8)
|
75% |
786
9.03 IPS |
|
|
Text Classification (F32)
|
100% |
884
349.7 IPS |
|
|
Text Classification (F16)
|
100% |
876
346.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2257
347.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2255
347.6 IPS |
