iPhone16,2
Geekbench ML Score
1422
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 10 2023 04:46 PM |
| 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 | 3.78 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% |
1088
116.6 IPS |
|
|
Image Classification (F16)
|
100% |
1066
114.2 IPS |
|
|
Image Classification (I8)
|
81% |
647
69.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1475
9.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
1437
8.87 IPS |
|
|
Image Segmentation (I8)
|
89% |
1663
10.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
526
2.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
523
2.12 IPS |
|
|
Pose Estimation (I8)
|
80% |
683
2.77 IPS |
|
|
Object Detection (F32)
|
100% |
1501
52.7 IPS |
|
|
Object Detection (F16)
|
100% |
1495
52.4 IPS |
|
|
Object Detection (I8)
|
52% |
939
33.0 IPS |
|
|
Face Detection (F32)
|
100% |
1903
21.9 IPS |
|
|
Face Detection (F16)
|
100% |
1880
21.6 IPS |
|
|
Face Detection (I8)
|
75% |
1039
11.9 IPS |
|
|
Text Classification (F32)
|
100% |
5230
2.07 KIPS |
|
|
Text Classification (F16)
|
100% |
4931
1.95 KIPS |
|
|
Machine Translation (F32)
|
100% |
2836
437.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2844
438.3 IPS |
