iPhone16,2
Geekbench ML Score
1391
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 30 2023 11:52 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.1 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1052
112.8 IPS |
|
|
Image Classification (F16)
|
100% |
1040
111.4 IPS |
|
|
Image Classification (I8)
|
81% |
625
67.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1414
8.73 IPS |
|
|
Image Segmentation (F16)
|
100% |
1379
8.52 IPS |
|
|
Image Segmentation (I8)
|
89% |
1672
10.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
500
2.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
499
2.02 IPS |
|
|
Pose Estimation (I8)
|
80% |
659
2.67 IPS |
|
|
Object Detection (F32)
|
100% |
1426
50.0 IPS |
|
|
Object Detection (F16)
|
100% |
1403
49.2 IPS |
|
|
Object Detection (I8)
|
52% |
960
33.7 IPS |
|
|
Face Detection (F32)
|
100% |
1858
21.3 IPS |
|
|
Face Detection (F16)
|
100% |
1827
21.0 IPS |
|
|
Face Detection (I8)
|
75% |
1046
12.0 IPS |
|
|
Text Classification (F32)
|
100% |
4968
1.96 KIPS |
|
|
Text Classification (F16)
|
100% |
5249
2.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
2854
439.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2843
438.2 IPS |
