iPhone14,6
Geekbench ML Score
2882
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 08 2023 07:28 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6301
675.1 IPS |
|
|
Image Classification (F16)
|
100% |
6281
673.0 IPS |
|
|
Image Classification (I8)
|
81% |
696
74.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2255
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2184
13.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
1243
7.68 IPS |
|
|
Pose Estimation (F32)
|
100% |
24062
97.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
24575
99.4 IPS |
|
|
Pose Estimation (I8)
|
80% |
240
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
7360
258.3 IPS |
|
|
Object Detection (F16)
|
100% |
7180
252.0 IPS |
|
|
Object Detection (I8)
|
52% |
988
34.7 IPS |
|
|
Face Detection (F32)
|
100% |
8780
100.9 IPS |
|
|
Face Detection (F16)
|
100% |
8748
100.5 IPS |
|
|
Face Detection (I8)
|
75% |
955
11.0 IPS |
|
|
Text Classification (F32)
|
100% |
1183
468.0 IPS |
|
|
Text Classification (F16)
|
100% |
1191
471.2 IPS |
|
|
Machine Translation (F32)
|
100% |
2048
315.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2051
316.0 IPS |
