iPhone16,1
Geekbench ML Score
1429
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 03 2023 08:35 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.2 |
| Model | iPhone16,1 |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.76 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 | 7.50 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1095
117.4 IPS |
|
|
Image Classification (F16)
|
100% |
1073
115.0 IPS |
|
|
Image Classification (I8)
|
81% |
621
66.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1454
8.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
1442
8.91 IPS |
|
|
Image Segmentation (I8)
|
89% |
1668
10.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
525
2.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
521
2.11 IPS |
|
|
Pose Estimation (I8)
|
80% |
679
2.75 IPS |
|
|
Object Detection (F32)
|
100% |
1489
52.2 IPS |
|
|
Object Detection (F16)
|
100% |
1493
52.4 IPS |
|
|
Object Detection (I8)
|
52% |
959
33.6 IPS |
|
|
Face Detection (F32)
|
100% |
1913
22.0 IPS |
|
|
Face Detection (F16)
|
100% |
1891
21.7 IPS |
|
|
Face Detection (I8)
|
75% |
1042
12.0 IPS |
|
|
Text Classification (F32)
|
100% |
5388
2.13 KIPS |
|
|
Text Classification (F16)
|
100% |
5343
2.11 KIPS |
|
|
Machine Translation (F32)
|
100% |
2847
438.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2852
439.6 IPS |
