iPhone 14
Geekbench ML Score
1907
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 01 2025 03:22 PM |
| Views | 5 |
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% |
927
173.6 IPS |
|
|
Image Classification (F16)
|
100% |
905
169.4 IPS |
|
|
Image Classification (I8)
|
99% |
911
170.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
627
10.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
566
9.45 IPS |
|
|
Image Segmentation (I8)
|
100% |
561
9.37 IPS |
|
|
Pose Estimation (F32)
|
100% |
5366
6.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
9525
11.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
9507
11.5 IPS |
|
|
Object Detection (F32)
|
100% |
1003
74.9 IPS |
|
|
Object Detection (F16)
|
100% |
1029
76.8 IPS |
|
|
Object Detection (I8)
|
97% |
1012
75.5 IPS |
|
|
Face Detection (F32)
|
100% |
1773
21.1 IPS |
|
|
Face Detection (F16)
|
100% |
1564
18.6 IPS |
|
|
Face Detection (I8)
|
99% |
1566
18.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
3286
25.5 IPS |
|
|
Depth Estimation (F16)
|
99% |
3633
28.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
3614
28.0 IPS |
|
|
Style Transfer (F32)
|
100% |
9901
13.0 IPS |
|
|
Style Transfer (F16)
|
100% |
11680
15.4 IPS |
|
|
Style Transfer (I8)
|
100% |
11779
15.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2398
85.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2517
89.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2527
90.2 IPS |
|
|
Text Classification (F32)
|
100% |
987
1.42 KIPS |
|
|
Text Classification (F16)
|
100% |
470
675.8 IPS |
|
|
Text Classification (I8)
|
96% |
611
877.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1340
24.7 IPS |
|
|
Machine Translation (F16)
|
99% |
1726
31.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1318
24.3 IPS |
