iPhone 14
Geekbench ML Score
1881
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 06:38 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% |
939
175.7 IPS |
|
|
Image Classification (F16)
|
100% |
902
168.8 IPS |
|
|
Image Classification (I8)
|
99% |
903
169.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
605
10.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
539
9.00 IPS |
|
|
Image Segmentation (I8)
|
100% |
532
8.89 IPS |
|
|
Pose Estimation (F32)
|
100% |
5188
6.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
9519
11.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
9241
11.2 IPS |
|
|
Object Detection (F32)
|
100% |
1009
75.3 IPS |
|
|
Object Detection (F16)
|
100% |
1025
76.5 IPS |
|
|
Object Detection (I8)
|
97% |
1016
75.8 IPS |
|
|
Face Detection (F32)
|
100% |
1741
20.7 IPS |
|
|
Face Detection (F16)
|
100% |
1534
18.2 IPS |
|
|
Face Detection (I8)
|
99% |
1500
17.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
3228
25.0 IPS |
|
|
Depth Estimation (F16)
|
99% |
3581
27.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
3471
26.9 IPS |
|
|
Style Transfer (F32)
|
100% |
9493
12.5 IPS |
|
|
Style Transfer (F16)
|
100% |
11301
14.9 IPS |
|
|
Style Transfer (I8)
|
100% |
11118
14.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2362
84.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2535
90.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2566
91.7 IPS |
|
|
Text Classification (F32)
|
100% |
1002
1.44 KIPS |
|
|
Text Classification (F16)
|
100% |
480
689.6 IPS |
|
|
Text Classification (I8)
|
96% |
649
932.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1336
24.6 IPS |
|
|
Machine Translation (F16)
|
99% |
1708
31.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1290
23.7 IPS |
