iPhone14,6
Geekbench ML Score
1895
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 08 2023 07:14 AM |
| Views | 1 |
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% |
1361
145.8 IPS |
|
|
Image Classification (F16)
|
100% |
2493
267.1 IPS |
|
|
Image Classification (I8)
|
81% |
696
74.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
4925
30.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
7052
43.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
1240
7.66 IPS |
|
|
Pose Estimation (F32)
|
100% |
1973
7.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
4284
17.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
235
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
1571
55.1 IPS |
|
|
Object Detection (F16)
|
100% |
3097
108.7 IPS |
|
|
Object Detection (I8)
|
52% |
986
34.6 IPS |
|
|
Face Detection (F32)
|
100% |
4774
54.8 IPS |
|
|
Face Detection (F16)
|
97% |
5680
65.3 IPS |
|
|
Face Detection (I8)
|
75% |
927
10.6 IPS |
|
|
Text Classification (F32)
|
100% |
1706
674.6 IPS |
|
|
Text Classification (F16)
|
100% |
1083
428.4 IPS |
|
|
Machine Translation (F32)
|
100% |
2056
316.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2050
315.9 IPS |
