iPhone 14
Geekbench ML Score
1814
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 30 2025 06:08 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% |
901
168.6 IPS |
|
|
Image Classification (F16)
|
100% |
827
154.8 IPS |
|
|
Image Classification (I8)
|
99% |
829
155.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
549
9.17 IPS |
|
|
Image Segmentation (F16)
|
100% |
504
8.42 IPS |
|
|
Image Segmentation (I8)
|
100% |
498
8.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
4944
5.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
9352
11.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
9141
11.1 IPS |
|
|
Object Detection (F32)
|
100% |
957
71.5 IPS |
|
|
Object Detection (F16)
|
100% |
1013
75.6 IPS |
|
|
Object Detection (I8)
|
97% |
990
73.9 IPS |
|
|
Face Detection (F32)
|
100% |
1639
19.5 IPS |
|
|
Face Detection (F16)
|
100% |
1469
17.5 IPS |
|
|
Face Detection (I8)
|
99% |
1458
17.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3051
23.7 IPS |
|
|
Depth Estimation (F16)
|
99% |
3463
26.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
3364
26.1 IPS |
|
|
Style Transfer (F32)
|
100% |
9332
12.3 IPS |
|
|
Style Transfer (F16)
|
100% |
11003
14.5 IPS |
|
|
Style Transfer (I8)
|
100% |
10924
14.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2288
81.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2516
89.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2525
90.2 IPS |
|
|
Text Classification (F32)
|
100% |
990
1.42 KIPS |
|
|
Text Classification (F16)
|
100% |
486
699.0 IPS |
|
|
Text Classification (I8)
|
96% |
619
889.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1304
24.0 IPS |
|
|
Machine Translation (F16)
|
99% |
1668
30.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1278
23.5 IPS |
