iPhone 15
Geekbench ML Score
3578
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 01:27 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPhone 15 |
| Model ID | iPhone15,4 |
| Motherboard | D37AP |
| 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 | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1444
270.3 IPS |
|
|
Image Classification (F16)
|
100% |
1858
347.7 IPS |
|
|
Image Classification (I8)
|
99% |
1879
351.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
874
14.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
873
14.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
874
14.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5891
7.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
14307
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14340
17.4 IPS |
|
|
Object Detection (F32)
|
100% |
1465
109.4 IPS |
|
|
Object Detection (F16)
|
100% |
1995
148.9 IPS |
|
|
Object Detection (I8)
|
97% |
1470
109.7 IPS |
|
|
Face Detection (F32)
|
100% |
2796
33.2 IPS |
|
|
Face Detection (F16)
|
97% |
4416
52.5 IPS |
|
|
Face Detection (I8)
|
97% |
4420
52.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5426
42.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
8709
67.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
8806
68.3 IPS |
|
|
Style Transfer (F32)
|
100% |
17311
22.8 IPS |
|
|
Style Transfer (F16)
|
100% |
26532
34.9 IPS |
|
|
Style Transfer (I8)
|
100% |
26582
35.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4050
144.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5157
184.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5092
181.8 IPS |
|
|
Text Classification (F32)
|
100% |
2373
3.41 KIPS |
|
|
Text Classification (F16)
|
100% |
3956
5.69 KIPS |
|
|
Text Classification (I8)
|
96% |
3942
5.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
1249
23.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1469
27.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1165
21.4 IPS |
