iPhone15,3
Geekbench ML Score
1001
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 08 2022 01:37 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1.2 |
| Model | iPhone15,3 |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.45 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% |
853
91.4 IPS |
|
|
Image Classification (F16)
|
100% |
810
86.8 IPS |
|
|
Image Classification (I8)
|
81% |
468
50.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1247
7.70 IPS |
|
|
Image Segmentation (F16)
|
100% |
1244
7.69 IPS |
|
|
Image Segmentation (I8)
|
89% |
1493
9.22 IPS |
|
|
Pose Estimation (F32)
|
100% |
466
1.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
467
1.89 IPS |
|
|
Pose Estimation (I8)
|
80% |
536
2.17 IPS |
|
|
Object Detection (F32)
|
100% |
1209
42.4 IPS |
|
|
Object Detection (F16)
|
100% |
1225
43.0 IPS |
|
|
Object Detection (I8)
|
52% |
731
25.7 IPS |
|
|
Face Detection (F32)
|
100% |
1512
17.4 IPS |
|
|
Face Detection (F16)
|
100% |
1485
17.1 IPS |
|
|
Face Detection (I8)
|
75% |
861
9.90 IPS |
|
|
Text Classification (F32)
|
100% |
1068
422.5 IPS |
|
|
Text Classification (F16)
|
100% |
1021
404.0 IPS |
|
|
Machine Translation (F32)
|
100% |
2265
349.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2260
348.3 IPS |
