iPhone14,6
Geekbench ML Score
1860
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 08 2023 07:31 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| Model | iPhone14,6 |
| Model ID | iPhone14,6 |
| Motherboard | D49AP |
| 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 | 3.80 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1526
163.5 IPS |
|
|
Image Classification (F16)
|
100% |
2358
252.6 IPS |
|
|
Image Classification (I8)
|
81% |
697
74.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
4953
30.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
7161
44.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
1237
7.64 IPS |
|
|
Pose Estimation (F32)
|
100% |
1975
7.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
4286
17.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
235
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
2278
79.9 IPS |
|
|
Object Detection (F16)
|
100% |
3085
108.3 IPS |
|
|
Object Detection (I8)
|
52% |
983
34.5 IPS |
|
|
Face Detection (F32)
|
100% |
4781
54.9 IPS |
|
|
Face Detection (F16)
|
97% |
5709
65.6 IPS |
|
|
Face Detection (I8)
|
75% |
933
10.7 IPS |
|
|
Text Classification (F32)
|
100% |
888
351.2 IPS |
|
|
Text Classification (F16)
|
100% |
928
367.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2050
315.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2044
315.0 IPS |
