iPhone 14
Geekbench ML Score
1939
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 03 2025 05:23 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% |
943
176.5 IPS |
|
|
Image Classification (F16)
|
100% |
907
169.8 IPS |
|
|
Image Classification (I8)
|
99% |
912
170.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
634
10.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
582
9.72 IPS |
|
|
Image Segmentation (I8)
|
100% |
578
9.65 IPS |
|
|
Pose Estimation (F32)
|
100% |
5501
6.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
9598
11.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
9555
11.6 IPS |
|
|
Object Detection (F32)
|
100% |
1037
77.4 IPS |
|
|
Object Detection (F16)
|
100% |
1051
78.5 IPS |
|
|
Object Detection (I8)
|
97% |
1030
76.9 IPS |
|
|
Face Detection (F32)
|
100% |
1777
21.1 IPS |
|
|
Face Detection (F16)
|
100% |
1628
19.4 IPS |
|
|
Face Detection (I8)
|
99% |
1628
19.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3294
25.5 IPS |
|
|
Depth Estimation (F16)
|
99% |
3681
28.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
3657
28.4 IPS |
|
|
Style Transfer (F32)
|
100% |
9939
13.1 IPS |
|
|
Style Transfer (F16)
|
100% |
11795
15.5 IPS |
|
|
Style Transfer (I8)
|
100% |
11727
15.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2425
86.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2578
92.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2567
91.7 IPS |
|
|
Text Classification (F32)
|
100% |
993
1.43 KIPS |
|
|
Text Classification (F16)
|
100% |
466
669.5 IPS |
|
|
Text Classification (I8)
|
96% |
650
934.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1354
24.9 IPS |
|
|
Machine Translation (F16)
|
99% |
1786
32.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1352
24.9 IPS |
