iPhone 14
Geekbench ML Score
1893
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 27 2025 05:17 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% |
946
177.1 IPS |
|
|
Image Classification (F16)
|
100% |
916
171.4 IPS |
|
|
Image Classification (I8)
|
99% |
914
171.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
610
10.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
543
9.06 IPS |
|
|
Image Segmentation (I8)
|
100% |
534
8.92 IPS |
|
|
Pose Estimation (F32)
|
100% |
5259
6.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
9586
11.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
9486
11.5 IPS |
|
|
Object Detection (F32)
|
100% |
1044
77.9 IPS |
|
|
Object Detection (F16)
|
100% |
1031
77.0 IPS |
|
|
Object Detection (I8)
|
97% |
1013
75.6 IPS |
|
|
Face Detection (F32)
|
100% |
1754
20.9 IPS |
|
|
Face Detection (F16)
|
100% |
1526
18.1 IPS |
|
|
Face Detection (I8)
|
99% |
1524
18.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
3169
24.6 IPS |
|
|
Depth Estimation (F16)
|
99% |
3606
28.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
3498
27.1 IPS |
|
|
Style Transfer (F32)
|
100% |
9769
12.9 IPS |
|
|
Style Transfer (F16)
|
100% |
11494
15.1 IPS |
|
|
Style Transfer (I8)
|
100% |
11429
15.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2379
85.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2566
91.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2562
91.5 IPS |
|
|
Text Classification (F32)
|
100% |
982
1.41 KIPS |
|
|
Text Classification (F16)
|
100% |
474
681.5 IPS |
|
|
Text Classification (I8)
|
96% |
612
878.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1347
24.8 IPS |
|
|
Machine Translation (F16)
|
99% |
1719
31.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1315
24.2 IPS |
