iPhone14,7
Geekbench ML Score
2105
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 25 2023 09:37 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3 |
| 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% |
2335
250.2 IPS |
|
|
Image Classification (F16)
|
100% |
2259
242.1 IPS |
|
|
Image Classification (I8)
|
81% |
693
74.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
5876
36.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
8483
52.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
1225
7.57 IPS |
|
|
Pose Estimation (F32)
|
100% |
1942
7.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
4997
20.2 IPS |
|
|
Pose Estimation (I8)
|
80% |
233
0.94 IPS |
|
|
Object Detection (F32)
|
100% |
1882
66.0 IPS |
|
|
Object Detection (F16)
|
100% |
3561
125.0 IPS |
|
|
Object Detection (I8)
|
52% |
978
34.3 IPS |
|
|
Face Detection (F32)
|
100% |
5378
61.8 IPS |
|
|
Face Detection (F16)
|
97% |
9026
103.7 IPS |
|
|
Face Detection (I8)
|
75% |
915
10.5 IPS |
|
|
Text Classification (F32)
|
100% |
1052
416.2 IPS |
|
|
Text Classification (F16)
|
100% |
2132
843.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2050
315.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2052
316.2 IPS |
