iPhone16,2
Geekbench ML Score
1380
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | 2048 |
| Upload Date | October 05 2023 12:02 AM |
| Views | 4 |
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 | 3.77 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% |
1040
111.5 IPS |
|
|
Image Classification (F16)
|
100% |
1017
109.0 IPS |
|
|
Image Classification (I8)
|
81% |
624
66.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1400
8.65 IPS |
|
|
Image Segmentation (F16)
|
100% |
1377
8.50 IPS |
|
|
Image Segmentation (I8)
|
89% |
1655
10.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
498
2.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
484
1.96 IPS |
|
|
Pose Estimation (I8)
|
80% |
655
2.65 IPS |
|
|
Object Detection (F32)
|
100% |
1406
49.3 IPS |
|
|
Object Detection (F16)
|
100% |
1450
50.9 IPS |
|
|
Object Detection (I8)
|
52% |
959
33.6 IPS |
|
|
Face Detection (F32)
|
100% |
1852
21.3 IPS |
|
|
Face Detection (F16)
|
100% |
1821
20.9 IPS |
|
|
Face Detection (I8)
|
75% |
1029
11.8 IPS |
|
|
Text Classification (F32)
|
100% |
5132
2.03 KIPS |
|
|
Text Classification (F16)
|
100% |
4915
1.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
2843
438.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2837
437.3 IPS |
