iPhone 15 Plus
Geekbench ML Score
2161
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 06 2024 08:28 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.1 |
| 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% |
1248
233.5 IPS |
|
|
Image Classification (F16)
|
100% |
1102
206.3 IPS |
|
|
Image Classification (I8)
|
99% |
1108
207.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
584
9.75 IPS |
|
|
Image Segmentation (F16)
|
100% |
516
8.62 IPS |
|
|
Image Segmentation (I8)
|
100% |
511
8.53 IPS |
|
|
Pose Estimation (F32)
|
100% |
5766
6.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
12203
14.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
12290
14.9 IPS |
|
|
Object Detection (F32)
|
100% |
1247
93.1 IPS |
|
|
Object Detection (F16)
|
100% |
1246
93.0 IPS |
|
|
Object Detection (I8)
|
97% |
1269
94.8 IPS |
|
|
Face Detection (F32)
|
100% |
2328
27.7 IPS |
|
|
Face Detection (F16)
|
100% |
1930
23.0 IPS |
|
|
Face Detection (I8)
|
99% |
1921
22.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
3999
31.0 IPS |
|
|
Depth Estimation (F16)
|
99% |
4386
34.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
4405
34.2 IPS |
|
|
Style Transfer (F32)
|
100% |
11342
14.9 IPS |
|
|
Style Transfer (F16)
|
100% |
13370
17.6 IPS |
|
|
Style Transfer (I8)
|
100% |
13333
17.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3366
120.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3115
111.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3098
110.6 IPS |
|
|
Text Classification (F32)
|
100% |
1270
1.82 KIPS |
|
|
Text Classification (F16)
|
100% |
827
1.19 KIPS |
|
|
Text Classification (I8)
|
96% |
814
1.17 KIPS |
|
|
Machine Translation (F32)
|
100% |
891
16.4 IPS |
|
|
Machine Translation (F16)
|
99% |
970
17.8 IPS |
|
|
Machine Translation (I8)
|
99% |
853
15.7 IPS |
