iPhone15,3
Geekbench ML Score
878
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 22 2023 01:01 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% |
763
81.7 IPS |
|
|
Image Classification (F16)
|
100% |
751
80.5 IPS |
|
|
Image Classification (I8)
|
81% |
343
36.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1132
6.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
1110
6.86 IPS |
|
|
Image Segmentation (I8)
|
89% |
1381
8.53 IPS |
|
|
Pose Estimation (F32)
|
100% |
381
1.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
344
1.39 IPS |
|
|
Pose Estimation (I8)
|
80% |
438
1.77 IPS |
|
|
Object Detection (F32)
|
100% |
1078
37.8 IPS |
|
|
Object Detection (F16)
|
100% |
1101
38.6 IPS |
|
|
Object Detection (I8)
|
52% |
564
19.8 IPS |
|
|
Face Detection (F32)
|
100% |
1400
16.1 IPS |
|
|
Face Detection (F16)
|
100% |
1175
13.5 IPS |
|
|
Face Detection (I8)
|
75% |
782
8.98 IPS |
|
|
Text Classification (F32)
|
100% |
1032
408.2 IPS |
|
|
Text Classification (F16)
|
100% |
970
383.6 IPS |
|
|
Machine Translation (F32)
|
100% |
2236
344.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2247
346.3 IPS |
