iPhone16,1
Geekbench ML Score
3587
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 09 2023 07:15 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.2 |
| Model | iPhone16,1 |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.77 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 | 7.50 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7958
852.7 IPS |
|
|
Image Classification (F16)
|
100% |
7977
854.7 IPS |
|
|
Image Classification (I8)
|
81% |
821
88.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2552
15.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2556
15.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
1413
8.73 IPS |
|
|
Pose Estimation (F32)
|
100% |
28406
114.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
28200
114.1 IPS |
|
|
Pose Estimation (I8)
|
80% |
268
1.08 IPS |
|
|
Object Detection (F32)
|
100% |
8978
315.1 IPS |
|
|
Object Detection (F16)
|
100% |
8600
301.8 IPS |
|
|
Object Detection (I8)
|
52% |
1117
39.2 IPS |
|
|
Face Detection (F32)
|
100% |
11898
136.7 IPS |
|
|
Face Detection (F16)
|
100% |
11875
136.4 IPS |
|
|
Face Detection (I8)
|
75% |
1087
12.5 IPS |
|
|
Text Classification (F32)
|
100% |
1864
737.4 IPS |
|
|
Text Classification (F16)
|
100% |
1698
671.6 IPS |
|
|
Machine Translation (F32)
|
100% |
2824
435.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2845
438.5 IPS |
