iPhone16,2
Geekbench ML Score
1364
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 13 2023 06:07 PM |
| Views | 25 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1041
111.5 IPS |
|
|
Image Classification (F16)
|
100% |
994
106.6 IPS |
|
|
Image Classification (I8)
|
81% |
639
68.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1373
8.48 IPS |
|
|
Image Segmentation (F16)
|
100% |
1323
8.17 IPS |
|
|
Image Segmentation (I8)
|
89% |
1664
10.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
489
1.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
482
1.95 IPS |
|
|
Pose Estimation (I8)
|
80% |
630
2.55 IPS |
|
|
Object Detection (F32)
|
100% |
1362
47.8 IPS |
|
|
Object Detection (F16)
|
100% |
1388
48.7 IPS |
|
|
Object Detection (I8)
|
52% |
993
34.8 IPS |
|
|
Face Detection (F32)
|
100% |
1785
20.5 IPS |
|
|
Face Detection (F16)
|
100% |
1753
20.1 IPS |
|
|
Face Detection (I8)
|
75% |
1046
12.0 IPS |
|
|
Text Classification (F32)
|
100% |
4668
1.85 KIPS |
|
|
Text Classification (F16)
|
100% |
5291
2.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
2836
437.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2880
443.9 IPS |
