iPhone 14
Geekbench ML Score
1879
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 07 2025 06:16 PM |
| Views | 2 |
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% |
944
176.7 IPS |
|
|
Image Classification (F16)
|
100% |
906
169.6 IPS |
|
|
Image Classification (I8)
|
99% |
905
169.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
603
10.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
538
8.98 IPS |
|
|
Image Segmentation (I8)
|
100% |
522
8.72 IPS |
|
|
Pose Estimation (F32)
|
100% |
5268
6.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
9458
11.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
9452
11.4 IPS |
|
|
Object Detection (F32)
|
100% |
1035
77.3 IPS |
|
|
Object Detection (F16)
|
100% |
1027
76.7 IPS |
|
|
Object Detection (I8)
|
97% |
1033
77.1 IPS |
|
|
Face Detection (F32)
|
100% |
1735
20.6 IPS |
|
|
Face Detection (F16)
|
100% |
1511
18.0 IPS |
|
|
Face Detection (I8)
|
99% |
1501
17.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3126
24.2 IPS |
|
|
Depth Estimation (F16)
|
99% |
3539
27.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
3506
27.2 IPS |
|
|
Style Transfer (F32)
|
100% |
9436
12.4 IPS |
|
|
Style Transfer (F16)
|
100% |
11198
14.7 IPS |
|
|
Style Transfer (I8)
|
100% |
11267
14.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2350
83.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2556
91.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2550
91.1 IPS |
|
|
Text Classification (F32)
|
100% |
986
1.42 KIPS |
|
|
Text Classification (F16)
|
100% |
480
689.8 IPS |
|
|
Text Classification (I8)
|
96% |
642
923.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1317
24.2 IPS |
|
|
Machine Translation (F16)
|
99% |
1682
31.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1304
24.0 IPS |
