iPhone14,6
Geekbench ML Score
1207
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 06 2024 12:31 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone14,6 |
| Model ID | iPhone14,6 |
| Motherboard | D49AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 1.38 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 | 3.80 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1182
126.7 IPS |
|
|
Image Classification (F16)
|
100% |
1181
126.6 IPS |
|
|
Image Classification (I8)
|
81% |
296
31.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
5075
31.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
6883
42.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
543
3.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
1508
6.10 IPS |
|
|
Pose Estimation (F16)
|
100% |
3272
13.2 IPS |
|
|
Pose Estimation (I8)
|
80% |
102
0.41 IPS |
|
|
Object Detection (F32)
|
100% |
1656
58.1 IPS |
|
|
Object Detection (F16)
|
100% |
2156
75.7 IPS |
|
|
Object Detection (I8)
|
52% |
423
14.9 IPS |
|
|
Face Detection (F32)
|
100% |
3699
42.5 IPS |
|
|
Face Detection (F16)
|
97% |
4999
57.4 IPS |
|
|
Face Detection (I8)
|
75% |
417
4.79 IPS |
|
|
Text Classification (F32)
|
100% |
864
341.9 IPS |
|
|
Text Classification (F16)
|
100% |
1006
397.9 IPS |
|
|
Machine Translation (F32)
|
100% |
952
146.7 IPS |
|
|
Machine Translation (F16)
|
100% |
944
145.4 IPS |
