iPhone 15
Geekbench ML Score
3559
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 01 2024 07:31 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1443
270.1 IPS |
|
|
Image Classification (F16)
|
100% |
1864
348.8 IPS |
|
|
Image Classification (I8)
|
99% |
1879
351.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
877
14.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
874
14.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
867
14.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5971
7.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
14160
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
14249
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1466
109.4 IPS |
|
|
Object Detection (F16)
|
100% |
2015
150.4 IPS |
|
|
Object Detection (I8)
|
97% |
1466
109.5 IPS |
|
|
Face Detection (F32)
|
100% |
2764
32.9 IPS |
|
|
Face Detection (F16)
|
97% |
4381
52.1 IPS |
|
|
Face Detection (I8)
|
97% |
4368
51.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5355
41.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
8648
67.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
8676
67.3 IPS |
|
|
Style Transfer (F32)
|
100% |
17278
22.7 IPS |
|
|
Style Transfer (F16)
|
100% |
26470
34.8 IPS |
|
|
Style Transfer (I8)
|
100% |
26427
34.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4048
144.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5010
178.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5041
180.0 IPS |
|
|
Text Classification (F32)
|
100% |
2371
3.41 KIPS |
|
|
Text Classification (F16)
|
100% |
4081
5.87 KIPS |
|
|
Text Classification (I8)
|
96% |
3920
5.63 KIPS |
|
|
Machine Translation (F32)
|
100% |
1200
22.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1460
26.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1136
20.9 IPS |
