iPhone 14
Geekbench ML Score
1898
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 10 2025 05:29 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% |
931
174.2 IPS |
|
|
Image Classification (F16)
|
100% |
902
168.7 IPS |
|
|
Image Classification (I8)
|
99% |
906
169.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
622
10.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
562
9.39 IPS |
|
|
Image Segmentation (I8)
|
100% |
554
9.26 IPS |
|
|
Pose Estimation (F32)
|
100% |
5423
6.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
9579
11.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
9550
11.6 IPS |
|
|
Object Detection (F32)
|
100% |
1020
76.1 IPS |
|
|
Object Detection (F16)
|
100% |
1040
77.6 IPS |
|
|
Object Detection (I8)
|
97% |
1030
76.9 IPS |
|
|
Face Detection (F32)
|
100% |
1685
20.0 IPS |
|
|
Face Detection (F16)
|
100% |
1548
18.4 IPS |
|
|
Face Detection (I8)
|
99% |
1546
18.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3204
24.9 IPS |
|
|
Depth Estimation (F16)
|
99% |
3580
27.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
3504
27.2 IPS |
|
|
Style Transfer (F32)
|
100% |
9587
12.6 IPS |
|
|
Style Transfer (F16)
|
100% |
11580
15.2 IPS |
|
|
Style Transfer (I8)
|
100% |
11527
15.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2355
84.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2562
91.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2563
91.5 IPS |
|
|
Text Classification (F32)
|
100% |
988
1.42 KIPS |
|
|
Text Classification (F16)
|
100% |
466
670.3 IPS |
|
|
Text Classification (I8)
|
96% |
633
909.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1338
24.6 IPS |
|
|
Machine Translation (F16)
|
99% |
1709
31.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1316
24.2 IPS |
