iPhone 15 Plus
Geekbench ML Score
2212
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 19 2024 07:33 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| Model | iPhone 15 Plus |
| Model ID | iPhone15,5 |
| Motherboard | D38AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 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 | 5.52 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1246
233.1 IPS |
|
|
Image Classification (F16)
|
100% |
1106
207.0 IPS |
|
|
Image Classification (I8)
|
99% |
1101
206.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
603
10.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
538
8.99 IPS |
|
|
Image Segmentation (I8)
|
100% |
537
8.97 IPS |
|
|
Pose Estimation (F32)
|
100% |
6275
7.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
12317
14.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
12270
14.9 IPS |
|
|
Object Detection (F32)
|
100% |
1270
94.8 IPS |
|
|
Object Detection (F16)
|
100% |
1260
94.1 IPS |
|
|
Object Detection (I8)
|
97% |
1280
95.6 IPS |
|
|
Face Detection (F32)
|
100% |
2406
28.6 IPS |
|
|
Face Detection (F16)
|
100% |
2013
23.9 IPS |
|
|
Face Detection (I8)
|
99% |
2008
23.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
4197
32.5 IPS |
|
|
Depth Estimation (F16)
|
99% |
4412
34.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
4407
34.2 IPS |
|
|
Style Transfer (F32)
|
100% |
11593
15.2 IPS |
|
|
Style Transfer (F16)
|
100% |
13583
17.9 IPS |
|
|
Style Transfer (I8)
|
100% |
13679
18.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3520
125.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3137
112.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3132
111.8 IPS |
|
|
Text Classification (F32)
|
100% |
1266
1.82 KIPS |
|
|
Text Classification (F16)
|
100% |
825
1.19 KIPS |
|
|
Text Classification (I8)
|
96% |
826
1.19 KIPS |
|
|
Machine Translation (F32)
|
100% |
931
17.1 IPS |
|
|
Machine Translation (F16)
|
99% |
1011
18.6 IPS |
|
|
Machine Translation (I8)
|
99% |
898
16.5 IPS |
