iPhone 14
Geekbench ML Score
1919
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 01 2024 05:28 PM |
| Views | 2 |
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% |
903
169.0 IPS |
|
|
Image Classification (I8)
|
99% |
904
169.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
631
10.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
565
9.43 IPS |
|
|
Image Segmentation (I8)
|
100% |
565
9.43 IPS |
|
|
Pose Estimation (F32)
|
100% |
5516
6.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
9650
11.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
9561
11.6 IPS |
|
|
Object Detection (F32)
|
100% |
1044
77.9 IPS |
|
|
Object Detection (F16)
|
100% |
1043
77.9 IPS |
|
|
Object Detection (I8)
|
97% |
1028
76.8 IPS |
|
|
Face Detection (F32)
|
100% |
1760
20.9 IPS |
|
|
Face Detection (F16)
|
100% |
1604
19.1 IPS |
|
|
Face Detection (I8)
|
99% |
1591
18.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3233
25.1 IPS |
|
|
Depth Estimation (F16)
|
99% |
3683
28.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
3627
28.1 IPS |
|
|
Style Transfer (F32)
|
100% |
9858
13.0 IPS |
|
|
Style Transfer (F16)
|
100% |
11735
15.4 IPS |
|
|
Style Transfer (I8)
|
100% |
11667
15.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2400
85.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2544
90.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2548
91.0 IPS |
|
|
Text Classification (F32)
|
100% |
1001
1.44 KIPS |
|
|
Text Classification (F16)
|
100% |
466
670.0 IPS |
|
|
Text Classification (I8)
|
96% |
609
875.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1353
24.9 IPS |
|
|
Machine Translation (F16)
|
99% |
1741
32.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1329
24.5 IPS |
