iPhone 14 Plus
Geekbench ML Score
3305
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 07 2024 08:16 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| Model | iPhone 14 Plus |
| Model ID | iPhone14,8 |
| Motherboard | D28AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| 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 | 5.51 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1392
260.4 IPS |
|
|
Image Classification (F16)
|
100% |
1740
325.6 IPS |
|
|
Image Classification (I8)
|
99% |
1739
325.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
813
13.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
809
13.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
803
13.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5543
6.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
13377
16.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
13461
16.3 IPS |
|
|
Object Detection (F32)
|
100% |
1359
101.5 IPS |
|
|
Object Detection (F16)
|
100% |
1848
138.0 IPS |
|
|
Object Detection (I8)
|
97% |
1355
101.2 IPS |
|
|
Face Detection (F32)
|
100% |
2367
28.1 IPS |
|
|
Face Detection (F16)
|
97% |
3860
45.9 IPS |
|
|
Face Detection (I8)
|
97% |
3858
45.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
4897
38.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
8059
62.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
8069
62.6 IPS |
|
|
Style Transfer (F32)
|
100% |
16132
21.2 IPS |
|
|
Style Transfer (F16)
|
100% |
25242
33.2 IPS |
|
|
Style Transfer (I8)
|
100% |
25152
33.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3725
133.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4969
177.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4988
178.1 IPS |
|
|
Text Classification (F32)
|
100% |
2201
3.16 KIPS |
|
|
Text Classification (F16)
|
100% |
3566
5.12 KIPS |
|
|
Text Classification (I8)
|
96% |
3542
5.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
1143
21.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1337
24.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1108
20.4 IPS |
