iPhone16,1
Geekbench ML Score
3648
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 13 2023 06:22 PM |
| Views | 136 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| Model | iPhone16,1 |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 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% |
7957
852.6 IPS |
|
|
Image Classification (F16)
|
100% |
7912
847.8 IPS |
|
|
Image Classification (I8)
|
81% |
836
89.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2630
16.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2630
16.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
1494
9.23 IPS |
|
|
Pose Estimation (F32)
|
100% |
28389
114.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
28466
115.2 IPS |
|
|
Pose Estimation (I8)
|
80% |
286
1.16 IPS |
|
|
Object Detection (F32)
|
100% |
9049
317.6 IPS |
|
|
Object Detection (F16)
|
100% |
9133
320.5 IPS |
|
|
Object Detection (I8)
|
52% |
1201
42.1 IPS |
|
|
Face Detection (F32)
|
100% |
11815
135.7 IPS |
|
|
Face Detection (F16)
|
100% |
11756
135.1 IPS |
|
|
Face Detection (I8)
|
75% |
1160
13.3 IPS |
|
|
Text Classification (F32)
|
100% |
1708
675.5 IPS |
|
|
Text Classification (F16)
|
100% |
1736
686.6 IPS |
|
|
Machine Translation (F32)
|
100% |
2829
436.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2837
437.3 IPS |
