iPhone14,7
Geekbench ML Score
2059
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 09 2022 04:51 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0 |
| Model | iPhone14,7 |
| Model ID | iPhone14,7 |
| Motherboard | D27AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 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 | 5.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2210
236.8 IPS |
|
|
Image Classification (F16)
|
100% |
2272
243.4 IPS |
|
|
Image Classification (I8)
|
81% |
659
70.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
6043
37.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
8085
49.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
1123
6.94 IPS |
|
|
Pose Estimation (F32)
|
100% |
1944
7.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
4983
20.2 IPS |
|
|
Pose Estimation (I8)
|
80% |
216
0.87 IPS |
|
|
Object Detection (F32)
|
100% |
2149
75.4 IPS |
|
|
Object Detection (F16)
|
100% |
3439
120.7 IPS |
|
|
Object Detection (I8)
|
52% |
902
31.6 IPS |
|
|
Face Detection (F32)
|
100% |
5392
61.9 IPS |
|
|
Face Detection (F16)
|
97% |
8604
98.9 IPS |
|
|
Face Detection (I8)
|
75% |
847
9.73 IPS |
|
|
Text Classification (F32)
|
100% |
1054
416.9 IPS |
|
|
Text Classification (F16)
|
100% |
2115
836.7 IPS |
|
|
Machine Translation (F32)
|
100% |
2022
311.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2036
313.8 IPS |
