iPhone16,2
Geekbench ML Score
2758
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 29 2023 06:44 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.1 |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2882
308.8 IPS |
|
|
Image Classification (F16)
|
100% |
4786
512.8 IPS |
|
|
Image Classification (I8)
|
81% |
834
89.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
6067
37.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
9752
60.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
1502
9.28 IPS |
|
|
Pose Estimation (F32)
|
100% |
2457
9.94 IPS |
|
|
Pose Estimation (F16)
|
100% |
5156
20.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
280
1.13 IPS |
|
|
Object Detection (F32)
|
100% |
3744
131.4 IPS |
|
|
Object Detection (F16)
|
100% |
3892
136.6 IPS |
|
|
Object Detection (I8)
|
52% |
1181
41.5 IPS |
|
|
Face Detection (F32)
|
100% |
5843
67.1 IPS |
|
|
Face Detection (F16)
|
97% |
10689
122.8 IPS |
|
|
Face Detection (I8)
|
75% |
1145
13.2 IPS |
|
|
Text Classification (F32)
|
100% |
2684
1.06 KIPS |
|
|
Text Classification (F16)
|
100% |
2443
966.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2842
438.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2846
438.6 IPS |
