iPhone 15 Plus
Geekbench ML Score
2171
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 13 2023 09:51 PM |
| Views | 27 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2 |
| 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
233.2 IPS |
|
|
Image Classification (F16)
|
100% |
1102
206.2 IPS |
|
|
Image Classification (I8)
|
99% |
1103
206.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
592
9.89 IPS |
|
|
Image Segmentation (F16)
|
100% |
528
8.82 IPS |
|
|
Image Segmentation (I8)
|
100% |
516
8.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
5891
7.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
12251
14.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
12247
14.8 IPS |
|
|
Object Detection (F32)
|
100% |
1244
92.9 IPS |
|
|
Object Detection (F16)
|
100% |
1272
94.9 IPS |
|
|
Object Detection (I8)
|
97% |
1267
94.6 IPS |
|
|
Face Detection (F32)
|
100% |
2325
27.6 IPS |
|
|
Face Detection (F16)
|
100% |
1935
23.0 IPS |
|
|
Face Detection (I8)
|
99% |
1929
22.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
4056
31.5 IPS |
|
|
Depth Estimation (F16)
|
99% |
4341
33.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
4373
33.9 IPS |
|
|
Style Transfer (F32)
|
100% |
11187
14.7 IPS |
|
|
Style Transfer (F16)
|
100% |
13398
17.6 IPS |
|
|
Style Transfer (I8)
|
100% |
13261
17.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3423
122.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3126
111.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3148
112.4 IPS |
|
|
Text Classification (F32)
|
100% |
1274
1.83 KIPS |
|
|
Text Classification (F16)
|
100% |
826
1.19 KIPS |
|
|
Text Classification (I8)
|
96% |
827
1.19 KIPS |
|
|
Machine Translation (F32)
|
100% |
905
16.6 IPS |
|
|
Machine Translation (F16)
|
99% |
973
17.9 IPS |
|
|
Machine Translation (I8)
|
99% |
856
15.7 IPS |
