iPhone 15 Plus
Geekbench ML Score
2151
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 12 2024 06:00 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3.1 |
| 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% |
1105
206.7 IPS |
|
|
Image Classification (I8)
|
99% |
1106
207.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
580
9.69 IPS |
|
|
Image Segmentation (F16)
|
100% |
515
8.61 IPS |
|
|
Image Segmentation (I8)
|
100% |
510
8.52 IPS |
|
|
Pose Estimation (F32)
|
100% |
5776
7.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
12129
14.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12065
14.6 IPS |
|
|
Object Detection (F32)
|
100% |
1221
91.2 IPS |
|
|
Object Detection (F16)
|
100% |
1251
93.4 IPS |
|
|
Object Detection (I8)
|
97% |
1252
93.5 IPS |
|
|
Face Detection (F32)
|
100% |
2289
27.2 IPS |
|
|
Face Detection (F16)
|
100% |
1922
22.8 IPS |
|
|
Face Detection (I8)
|
99% |
1904
22.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
3995
31.0 IPS |
|
|
Depth Estimation (F16)
|
99% |
4340
33.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
4307
33.4 IPS |
|
|
Style Transfer (F32)
|
100% |
11238
14.8 IPS |
|
|
Style Transfer (F16)
|
100% |
13313
17.5 IPS |
|
|
Style Transfer (I8)
|
100% |
13289
17.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3395
121.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3138
112.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3133
111.9 IPS |
|
|
Text Classification (F32)
|
100% |
1270
1.83 KIPS |
|
|
Text Classification (F16)
|
100% |
824
1.18 KIPS |
|
|
Text Classification (I8)
|
96% |
824
1.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
887
16.3 IPS |
|
|
Machine Translation (F16)
|
99% |
959
17.6 IPS |
|
|
Machine Translation (I8)
|
99% |
838
15.4 IPS |
