iPhone14,2
Geekbench ML Score
2269
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 16 2021 01:59 AM |
| Views | 53 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| Model | iPhone14,2 |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.24 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% |
2869
307.4 IPS |
|
|
Image Classification (F16)
|
100% |
4417
473.3 IPS |
|
|
Image Classification (I8)
|
81% |
699
74.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
5953
36.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
8357
51.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
1281
7.91 IPS |
|
|
Pose Estimation (F32)
|
100% |
1899
7.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
4855
19.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
241
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
3175
111.4 IPS |
|
|
Object Detection (F16)
|
100% |
3526
123.7 IPS |
|
|
Object Detection (I8)
|
52% |
994
34.9 IPS |
|
|
Face Detection (F32)
|
100% |
5177
59.5 IPS |
|
|
Face Detection (F16)
|
97% |
9333
107.2 IPS |
|
|
Face Detection (I8)
|
75% |
967
11.1 IPS |
|
|
Text Classification (F32)
|
100% |
1567
619.7 IPS |
|
|
Text Classification (F16)
|
100% |
1462
578.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1975
304.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1963
302.5 IPS |
