iPhone 14
Geekbench ML Score
1922
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 05:40 PM |
| Views | 3 |
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% |
942
176.3 IPS |
|
|
Image Classification (F16)
|
100% |
911
170.5 IPS |
|
|
Image Classification (I8)
|
99% |
913
170.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
625
10.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
567
9.47 IPS |
|
|
Image Segmentation (I8)
|
100% |
561
9.37 IPS |
|
|
Pose Estimation (F32)
|
100% |
5339
6.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
9658
11.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
9572
11.6 IPS |
|
|
Object Detection (F32)
|
100% |
1035
77.3 IPS |
|
|
Object Detection (F16)
|
100% |
1070
79.9 IPS |
|
|
Object Detection (I8)
|
97% |
1056
78.8 IPS |
|
|
Face Detection (F32)
|
100% |
1762
20.9 IPS |
|
|
Face Detection (F16)
|
100% |
1596
19.0 IPS |
|
|
Face Detection (I8)
|
99% |
1582
18.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
3252
25.2 IPS |
|
|
Depth Estimation (F16)
|
99% |
3661
28.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
3636
28.2 IPS |
|
|
Style Transfer (F32)
|
100% |
9869
13.0 IPS |
|
|
Style Transfer (F16)
|
100% |
11718
15.4 IPS |
|
|
Style Transfer (I8)
|
100% |
11546
15.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2411
86.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2562
91.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2552
91.1 IPS |
|
|
Text Classification (F32)
|
100% |
1001
1.44 KIPS |
|
|
Text Classification (F16)
|
100% |
465
668.8 IPS |
|
|
Text Classification (I8)
|
96% |
613
880.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1363
25.1 IPS |
|
|
Machine Translation (F16)
|
99% |
1741
32.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1330
24.5 IPS |
