iPhone16,2
Geekbench ML Score
3662
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 01 2023 02:29 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.2 |
| Model | iPhone16,2 |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.76 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% |
7904
846.8 IPS |
|
|
Image Classification (F16)
|
100% |
7900
846.5 IPS |
|
|
Image Classification (I8)
|
81% |
834
89.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2697
16.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2660
16.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
1489
9.20 IPS |
|
|
Pose Estimation (F32)
|
100% |
28293
114.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
27819
112.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
281
1.14 IPS |
|
|
Object Detection (F32)
|
100% |
9450
331.6 IPS |
|
|
Object Detection (F16)
|
100% |
9165
321.6 IPS |
|
|
Object Detection (I8)
|
52% |
1196
42.0 IPS |
|
|
Face Detection (F32)
|
100% |
11824
135.8 IPS |
|
|
Face Detection (F16)
|
100% |
11827
135.9 IPS |
|
|
Face Detection (I8)
|
75% |
1153
13.2 IPS |
|
|
Text Classification (F32)
|
100% |
1727
683.0 IPS |
|
|
Text Classification (F16)
|
100% |
1783
705.4 IPS |
|
|
Machine Translation (F32)
|
100% |
2839
437.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2868
442.0 IPS |
