iPhone 14
Geekbench ML Score
1879
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 09 2025 08:32 PM |
| Views | 7 |
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% |
929
173.9 IPS |
|
|
Image Classification (F16)
|
100% |
899
168.2 IPS |
|
|
Image Classification (I8)
|
99% |
894
167.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
600
10.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
536
8.95 IPS |
|
|
Image Segmentation (I8)
|
100% |
531
8.87 IPS |
|
|
Pose Estimation (F32)
|
100% |
5238
6.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
9657
11.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
9515
11.5 IPS |
|
|
Object Detection (F32)
|
100% |
1044
77.9 IPS |
|
|
Object Detection (F16)
|
100% |
1034
77.2 IPS |
|
|
Object Detection (I8)
|
97% |
1020
76.2 IPS |
|
|
Face Detection (F32)
|
100% |
1698
20.2 IPS |
|
|
Face Detection (F16)
|
100% |
1522
18.1 IPS |
|
|
Face Detection (I8)
|
99% |
1513
18.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
3128
24.3 IPS |
|
|
Depth Estimation (F16)
|
99% |
3603
27.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
3452
26.8 IPS |
|
|
Style Transfer (F32)
|
100% |
9574
12.6 IPS |
|
|
Style Transfer (F16)
|
100% |
11136
14.6 IPS |
|
|
Style Transfer (I8)
|
100% |
11378
15.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2348
83.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2552
91.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2559
91.4 IPS |
|
|
Text Classification (F32)
|
100% |
983
1.41 KIPS |
|
|
Text Classification (F16)
|
100% |
465
667.8 IPS |
|
|
Text Classification (I8)
|
96% |
641
921.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1330
24.5 IPS |
|
|
Machine Translation (F16)
|
99% |
1704
31.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1312
24.1 IPS |
