iPhone 14
Geekbench ML Score
1928
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 14 2024 05:59 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% |
949
177.5 IPS |
|
|
Image Classification (F16)
|
100% |
914
171.0 IPS |
|
|
Image Classification (I8)
|
99% |
913
170.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
623
10.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
564
9.42 IPS |
|
|
Image Segmentation (I8)
|
100% |
560
9.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
5460
6.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
9601
11.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
9551
11.6 IPS |
|
|
Object Detection (F32)
|
100% |
1021
76.2 IPS |
|
|
Object Detection (F16)
|
100% |
1032
77.1 IPS |
|
|
Object Detection (I8)
|
97% |
1035
77.3 IPS |
|
|
Face Detection (F32)
|
100% |
1769
21.0 IPS |
|
|
Face Detection (F16)
|
100% |
1600
19.0 IPS |
|
|
Face Detection (I8)
|
99% |
1607
19.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
3272
25.4 IPS |
|
|
Depth Estimation (F16)
|
99% |
3683
28.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
3642
28.2 IPS |
|
|
Style Transfer (F32)
|
100% |
9957
13.1 IPS |
|
|
Style Transfer (F16)
|
100% |
11785
15.5 IPS |
|
|
Style Transfer (I8)
|
100% |
11749
15.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2433
86.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2549
91.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2552
91.2 IPS |
|
|
Text Classification (F32)
|
100% |
994
1.43 KIPS |
|
|
Text Classification (F16)
|
100% |
465
668.9 IPS |
|
|
Text Classification (I8)
|
96% |
647
930.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1359
25.0 IPS |
|
|
Machine Translation (F16)
|
99% |
1774
32.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1352
24.9 IPS |
