iPhone16,2
Geekbench ML Score
1330
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | LordYu |
| Upload Date | October 04 2023 09:28 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0.2 |
| Model | iPhone16,2 |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.70 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% |
1001
107.3 IPS |
|
|
Image Classification (F16)
|
100% |
981
105.1 IPS |
|
|
Image Classification (I8)
|
81% |
590
63.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1337
8.26 IPS |
|
|
Image Segmentation (F16)
|
100% |
1304
8.05 IPS |
|
|
Image Segmentation (I8)
|
89% |
1631
10.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
481
1.95 IPS |
|
|
Pose Estimation (F16)
|
100% |
473
1.91 IPS |
|
|
Pose Estimation (I8)
|
80% |
625
2.53 IPS |
|
|
Object Detection (F32)
|
100% |
1349
47.3 IPS |
|
|
Object Detection (F16)
|
100% |
1373
48.2 IPS |
|
|
Object Detection (I8)
|
52% |
915
32.1 IPS |
|
|
Face Detection (F32)
|
100% |
1760
20.2 IPS |
|
|
Face Detection (F16)
|
100% |
1746
20.1 IPS |
|
|
Face Detection (I8)
|
75% |
1022
11.7 IPS |
|
|
Text Classification (F32)
|
100% |
4678
1.85 KIPS |
|
|
Text Classification (F16)
|
100% |
4893
1.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
2796
430.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2865
441.5 IPS |
