iPhone16,2
Geekbench ML Score
1402
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 09 2024 06:36 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.44 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1071
114.7 IPS |
|
|
Image Classification (F16)
|
100% |
1048
112.3 IPS |
|
|
Image Classification (I8)
|
81% |
663
71.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1433
8.85 IPS |
|
|
Image Segmentation (F16)
|
100% |
1399
8.64 IPS |
|
|
Image Segmentation (I8)
|
89% |
1675
10.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
496
2.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
493
1.99 IPS |
|
|
Pose Estimation (I8)
|
80% |
651
2.64 IPS |
|
|
Object Detection (F32)
|
100% |
1415
49.7 IPS |
|
|
Object Detection (F16)
|
100% |
1411
49.5 IPS |
|
|
Object Detection (I8)
|
52% |
946
33.2 IPS |
|
|
Face Detection (F32)
|
100% |
1837
21.1 IPS |
|
|
Face Detection (F16)
|
100% |
1816
20.9 IPS |
|
|
Face Detection (I8)
|
75% |
1042
12.0 IPS |
|
|
Text Classification (F32)
|
100% |
5371
2.12 KIPS |
|
|
Text Classification (F16)
|
100% |
5375
2.13 KIPS |
|
|
Machine Translation (F32)
|
100% |
2861
440.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2854
439.8 IPS |
