iPhone 15
Geekbench ML Score
3600
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 13 2024 09:26 AM |
| 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% |
1448
271.0 IPS |
|
|
Image Classification (F16)
|
100% |
1891
353.9 IPS |
|
|
Image Classification (I8)
|
99% |
1871
350.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
878
14.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
870
14.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
877
14.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6096
7.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
14442
17.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
14436
17.5 IPS |
|
|
Object Detection (F32)
|
100% |
1478
110.4 IPS |
|
|
Object Detection (F16)
|
100% |
2001
149.4 IPS |
|
|
Object Detection (I8)
|
97% |
1471
109.8 IPS |
|
|
Face Detection (F32)
|
100% |
2820
33.5 IPS |
|
|
Face Detection (F16)
|
97% |
4435
52.7 IPS |
|
|
Face Detection (I8)
|
97% |
4446
52.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5545
43.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
8742
67.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
8734
67.7 IPS |
|
|
Style Transfer (F32)
|
100% |
17494
23.0 IPS |
|
|
Style Transfer (F16)
|
100% |
26712
35.1 IPS |
|
|
Style Transfer (I8)
|
100% |
26438
34.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4023
143.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5097
182.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5188
185.3 IPS |
|
|
Text Classification (F32)
|
100% |
2386
3.43 KIPS |
|
|
Text Classification (F16)
|
100% |
3956
5.69 KIPS |
|
|
Text Classification (I8)
|
96% |
3961
5.69 KIPS |
|
|
Machine Translation (F32)
|
100% |
1263
23.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1490
27.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1188
21.9 IPS |
