iPhone15,3
Geekbench ML Score
993
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 23 2022 07:01 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0.2 |
| 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% |
818
87.6 IPS |
|
|
Image Classification (F16)
|
100% |
812
87.0 IPS |
|
|
Image Classification (I8)
|
81% |
473
50.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1253
7.74 IPS |
|
|
Image Segmentation (F16)
|
100% |
1218
7.52 IPS |
|
|
Image Segmentation (I8)
|
89% |
1501
9.27 IPS |
|
|
Pose Estimation (F32)
|
100% |
469
1.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
463
1.87 IPS |
|
|
Pose Estimation (I8)
|
80% |
527
2.13 IPS |
|
|
Object Detection (F32)
|
100% |
1167
41.0 IPS |
|
|
Object Detection (F16)
|
100% |
1215
42.6 IPS |
|
|
Object Detection (I8)
|
52% |
760
26.7 IPS |
|
|
Face Detection (F32)
|
100% |
1499
17.2 IPS |
|
|
Face Detection (F16)
|
100% |
1465
16.8 IPS |
|
|
Face Detection (I8)
|
75% |
863
9.92 IPS |
|
|
Text Classification (F32)
|
100% |
1036
409.6 IPS |
|
|
Text Classification (F16)
|
100% |
1020
403.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2238
345.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2236
344.6 IPS |
