iPhone16,2
Geekbench ML Score
2719
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 04 2023 09:24 PM |
| Views | 1 |
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 | 3.70 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% |
2816
301.7 IPS |
|
|
Image Classification (F16)
|
100% |
4828
517.3 IPS |
|
|
Image Classification (I8)
|
81% |
789
84.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
6061
37.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
9663
59.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
1404
8.67 IPS |
|
|
Pose Estimation (F32)
|
100% |
2465
9.97 IPS |
|
|
Pose Estimation (F16)
|
100% |
5176
20.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
266
1.07 IPS |
|
|
Object Detection (F32)
|
100% |
3621
127.1 IPS |
|
|
Object Detection (F16)
|
100% |
4455
156.3 IPS |
|
|
Object Detection (I8)
|
52% |
1124
39.4 IPS |
|
|
Face Detection (F32)
|
100% |
5856
67.3 IPS |
|
|
Face Detection (F16)
|
97% |
10770
123.7 IPS |
|
|
Face Detection (I8)
|
75% |
1070
12.3 IPS |
|
|
Text Classification (F32)
|
100% |
2171
858.6 IPS |
|
|
Text Classification (F16)
|
100% |
2791
1.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
2850
439.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2855
440.0 IPS |
