iPhone16,2
Geekbench ML Score
3586
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 13 2023 06:23 PM |
| Views | 43 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| Model | iPhone16,2 |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| 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 | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7911
847.7 IPS |
|
|
Image Classification (F16)
|
100% |
7936
850.3 IPS |
|
|
Image Classification (I8)
|
81% |
821
88.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2592
16.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2583
16.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
1430
8.83 IPS |
|
|
Pose Estimation (F32)
|
100% |
27914
113.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
28326
114.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
271
1.10 IPS |
|
|
Object Detection (F32)
|
100% |
8655
303.8 IPS |
|
|
Object Detection (F16)
|
100% |
8643
303.3 IPS |
|
|
Object Detection (I8)
|
52% |
1123
39.4 IPS |
|
|
Face Detection (F32)
|
100% |
11862
136.3 IPS |
|
|
Face Detection (F16)
|
100% |
11746
134.9 IPS |
|
|
Face Detection (I8)
|
75% |
1112
12.8 IPS |
|
|
Text Classification (F32)
|
100% |
1728
683.3 IPS |
|
|
Text Classification (F16)
|
100% |
1786
706.4 IPS |
|
|
Machine Translation (F32)
|
100% |
2845
438.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2862
441.0 IPS |
