iPhone 15 Plus
Geekbench ML Score
5029
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 19 2024 07:16 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1058
198.0 IPS |
|
|
Image Classification (F16)
|
100% |
5424
1.02 KIPS |
|
|
Image Classification (I8)
|
99% |
5850
1.09 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1305
21.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1975
33.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1976
33.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
11547
14.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
78335
94.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
82820
100.3 IPS |
|
|
Object Detection (F32)
|
100% |
1380
103.1 IPS |
|
|
Object Detection (F16)
|
100% |
3739
279.1 IPS |
|
|
Object Detection (I8)
|
97% |
1186
88.5 IPS |
|
|
Face Detection (F32)
|
100% |
4016
47.8 IPS |
|
|
Face Detection (F16)
|
97% |
10264
122.0 IPS |
|
|
Face Detection (I8)
|
96% |
10737
127.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
8355
64.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
37001
286.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
38015
294.8 IPS |
|
|
Style Transfer (F32)
|
100% |
21381
28.1 IPS |
|
|
Style Transfer (F16)
|
100% |
119968
157.8 IPS |
|
|
Style Transfer (I8)
|
100% |
121165
159.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2830
101.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16812
600.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17276
617.0 IPS |
|
|
Text Classification (F32)
|
100% |
385
552.9 IPS |
|
|
Text Classification (F16)
|
100% |
386
554.1 IPS |
|
|
Text Classification (I8)
|
96% |
236
338.6 IPS |
|
|
Machine Translation (F32)
|
100% |
509
9.36 IPS |
|
|
Machine Translation (F16)
|
100% |
1137
20.9 IPS |
|
|
Machine Translation (I8)
|
99% |
526
9.68 IPS |
