iPhone 14
Geekbench ML Score
1930
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 11 2025 03:40 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3.1 |
| Model | iPhone 14 |
| Model ID | iPhone14,7 |
| Motherboard | D27AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 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 | 5.56 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
948
177.3 IPS |
|
|
Image Classification (F16)
|
100% |
907
169.7 IPS |
|
|
Image Classification (I8)
|
99% |
910
170.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
635
10.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
580
9.69 IPS |
|
|
Image Segmentation (I8)
|
100% |
579
9.66 IPS |
|
|
Pose Estimation (F32)
|
100% |
5464
6.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
9629
11.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
9540
11.6 IPS |
|
|
Object Detection (F32)
|
100% |
1028
76.7 IPS |
|
|
Object Detection (F16)
|
100% |
1053
78.6 IPS |
|
|
Object Detection (I8)
|
97% |
1053
78.6 IPS |
|
|
Face Detection (F32)
|
100% |
1777
21.1 IPS |
|
|
Face Detection (F16)
|
100% |
1620
19.3 IPS |
|
|
Face Detection (I8)
|
99% |
1615
19.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
3216
24.9 IPS |
|
|
Depth Estimation (F16)
|
99% |
3639
28.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
3629
28.1 IPS |
|
|
Style Transfer (F32)
|
100% |
9931
13.1 IPS |
|
|
Style Transfer (F16)
|
100% |
11749
15.5 IPS |
|
|
Style Transfer (I8)
|
100% |
11783
15.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2424
86.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2554
91.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2557
91.3 IPS |
|
|
Text Classification (F32)
|
100% |
982
1.41 KIPS |
|
|
Text Classification (F16)
|
100% |
461
662.3 IPS |
|
|
Text Classification (I8)
|
96% |
619
889.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1347
24.8 IPS |
|
|
Machine Translation (F16)
|
99% |
1781
32.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1340
24.7 IPS |
