iPhone 14
Geekbench ML Score
1898
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 27 2024 01:48 AM |
| 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% |
947
177.2 IPS |
|
|
Image Classification (F16)
|
100% |
907
169.8 IPS |
|
|
Image Classification (I8)
|
99% |
917
171.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
616
10.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
558
9.32 IPS |
|
|
Image Segmentation (I8)
|
100% |
528
8.82 IPS |
|
|
Pose Estimation (F32)
|
100% |
5282
6.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
9615
11.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
9560
11.6 IPS |
|
|
Object Detection (F32)
|
100% |
1020
76.1 IPS |
|
|
Object Detection (F16)
|
100% |
1045
78.0 IPS |
|
|
Object Detection (I8)
|
97% |
1042
77.8 IPS |
|
|
Face Detection (F32)
|
100% |
1719
20.4 IPS |
|
|
Face Detection (F16)
|
100% |
1555
18.5 IPS |
|
|
Face Detection (I8)
|
99% |
1538
18.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3164
24.5 IPS |
|
|
Depth Estimation (F16)
|
99% |
3577
27.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
3504
27.2 IPS |
|
|
Style Transfer (F32)
|
100% |
9736
12.8 IPS |
|
|
Style Transfer (F16)
|
100% |
11486
15.1 IPS |
|
|
Style Transfer (I8)
|
100% |
11484
15.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2359
84.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2560
91.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2562
91.5 IPS |
|
|
Text Classification (F32)
|
100% |
987
1.42 KIPS |
|
|
Text Classification (F16)
|
100% |
465
668.8 IPS |
|
|
Text Classification (I8)
|
96% |
653
938.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1340
24.7 IPS |
|
|
Machine Translation (F16)
|
99% |
1714
31.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1307
24.1 IPS |
