iPhone15,2
Geekbench ML Score
941
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 06 2022 06:15 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0.2 |
| Model | iPhone15,2 |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| 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 | 5.51 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
838
89.7 IPS |
|
|
Image Classification (F16)
|
100% |
817
87.5 IPS |
|
|
Image Classification (I8)
|
81% |
357
38.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1236
7.63 IPS |
|
|
Image Segmentation (F16)
|
100% |
1224
7.56 IPS |
|
|
Image Segmentation (I8)
|
89% |
1407
8.69 IPS |
|
|
Pose Estimation (F32)
|
100% |
421
1.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
420
1.70 IPS |
|
|
Pose Estimation (I8)
|
80% |
506
2.05 IPS |
|
|
Object Detection (F32)
|
100% |
1193
41.9 IPS |
|
|
Object Detection (F16)
|
100% |
1168
41.0 IPS |
|
|
Object Detection (I8)
|
52% |
571
20.0 IPS |
|
|
Face Detection (F32)
|
100% |
1448
16.6 IPS |
|
|
Face Detection (F16)
|
100% |
1418
16.3 IPS |
|
|
Face Detection (I8)
|
75% |
803
9.23 IPS |
|
|
Text Classification (F32)
|
100% |
1006
397.7 IPS |
|
|
Text Classification (F16)
|
100% |
1041
411.6 IPS |
|
|
Machine Translation (F32)
|
100% |
2229
343.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2228
343.4 IPS |
