iPhone 14
Geekbench ML Score
1915
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 18 2024 09:42 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% |
943
176.6 IPS |
|
|
Image Classification (F16)
|
100% |
906
169.5 IPS |
|
|
Image Classification (I8)
|
99% |
914
171.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
628
10.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
565
9.44 IPS |
|
|
Image Segmentation (I8)
|
100% |
562
9.38 IPS |
|
|
Pose Estimation (F32)
|
100% |
5420
6.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
9573
11.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
9552
11.6 IPS |
|
|
Object Detection (F32)
|
100% |
1020
76.2 IPS |
|
|
Object Detection (F16)
|
100% |
1040
77.6 IPS |
|
|
Object Detection (I8)
|
97% |
1036
77.4 IPS |
|
|
Face Detection (F32)
|
100% |
1731
20.6 IPS |
|
|
Face Detection (F16)
|
100% |
1581
18.8 IPS |
|
|
Face Detection (I8)
|
99% |
1559
18.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
3259
25.3 IPS |
|
|
Depth Estimation (F16)
|
99% |
3645
28.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
3585
27.8 IPS |
|
|
Style Transfer (F32)
|
100% |
9910
13.0 IPS |
|
|
Style Transfer (F16)
|
100% |
11673
15.4 IPS |
|
|
Style Transfer (I8)
|
100% |
11711
15.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2423
86.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2550
91.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2570
91.8 IPS |
|
|
Text Classification (F32)
|
100% |
985
1.42 KIPS |
|
|
Text Classification (F16)
|
100% |
463
665.8 IPS |
|
|
Text Classification (I8)
|
96% |
608
874.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1350
24.8 IPS |
|
|
Machine Translation (F16)
|
99% |
1759
32.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1344
24.7 IPS |
