iPhone 14
Geekbench ML Score
1884
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 04 2025 05:28 PM |
| Views | 1 |
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
173.8 IPS |
|
|
Image Classification (F16)
|
100% |
899
168.2 IPS |
|
|
Image Classification (I8)
|
99% |
894
167.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
588
9.83 IPS |
|
|
Image Segmentation (F16)
|
100% |
526
8.78 IPS |
|
|
Image Segmentation (I8)
|
100% |
528
8.81 IPS |
|
|
Pose Estimation (F32)
|
100% |
5187
6.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
9546
11.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
9469
11.5 IPS |
|
|
Object Detection (F32)
|
100% |
1007
75.2 IPS |
|
|
Object Detection (F16)
|
100% |
1030
76.9 IPS |
|
|
Object Detection (I8)
|
97% |
1038
77.5 IPS |
|
|
Face Detection (F32)
|
100% |
1718
20.4 IPS |
|
|
Face Detection (F16)
|
100% |
1534
18.2 IPS |
|
|
Face Detection (I8)
|
99% |
1523
18.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
3150
24.4 IPS |
|
|
Depth Estimation (F16)
|
99% |
3615
28.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
3539
27.4 IPS |
|
|
Style Transfer (F32)
|
100% |
9755
12.8 IPS |
|
|
Style Transfer (F16)
|
100% |
11478
15.1 IPS |
|
|
Style Transfer (I8)
|
100% |
11365
15.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2381
85.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2567
91.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2562
91.5 IPS |
|
|
Text Classification (F32)
|
100% |
1000
1.44 KIPS |
|
|
Text Classification (F16)
|
100% |
461
662.7 IPS |
|
|
Text Classification (I8)
|
96% |
649
932.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1347
24.8 IPS |
|
|
Machine Translation (F16)
|
99% |
1710
31.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1326
24.4 IPS |
