iPhone16,1
Geekbench ML Score
2743
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 08 2023 03:16 PM |
| Views | 4 |
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 | 3.78 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 | 7.50 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2877
308.2 IPS |
|
|
Image Classification (F16)
|
100% |
4880
522.9 IPS |
|
|
Image Classification (I8)
|
81% |
823
88.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
6117
37.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
9880
61.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
1471
9.09 IPS |
|
|
Pose Estimation (F32)
|
100% |
2491
10.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
5208
21.1 IPS |
|
|
Pose Estimation (I8)
|
80% |
277
1.12 IPS |
|
|
Object Detection (F32)
|
100% |
3789
133.0 IPS |
|
|
Object Detection (F16)
|
100% |
4116
144.4 IPS |
|
|
Object Detection (I8)
|
52% |
1160
40.7 IPS |
|
|
Face Detection (F32)
|
100% |
5971
68.6 IPS |
|
|
Face Detection (F16)
|
97% |
10921
125.5 IPS |
|
|
Face Detection (I8)
|
75% |
1132
13.0 IPS |
|
|
Text Classification (F32)
|
100% |
2163
855.4 IPS |
|
|
Text Classification (F16)
|
100% |
2484
982.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2830
436.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2846
438.6 IPS |
