iPhone 14
Geekbench ML Score
1909
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 04:19 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% |
931
174.2 IPS |
|
|
Image Classification (F16)
|
100% |
902
168.8 IPS |
|
|
Image Classification (I8)
|
99% |
906
169.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
625
10.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
565
9.43 IPS |
|
|
Image Segmentation (I8)
|
100% |
563
9.40 IPS |
|
|
Pose Estimation (F32)
|
100% |
5425
6.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
9546
11.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
9530
11.5 IPS |
|
|
Object Detection (F32)
|
100% |
1020
76.2 IPS |
|
|
Object Detection (F16)
|
100% |
1036
77.4 IPS |
|
|
Object Detection (I8)
|
97% |
1039
77.6 IPS |
|
|
Face Detection (F32)
|
100% |
1724
20.5 IPS |
|
|
Face Detection (F16)
|
100% |
1572
18.7 IPS |
|
|
Face Detection (I8)
|
99% |
1540
18.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3262
25.3 IPS |
|
|
Depth Estimation (F16)
|
99% |
3657
28.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
3617
28.0 IPS |
|
|
Style Transfer (F32)
|
100% |
9870
13.0 IPS |
|
|
Style Transfer (F16)
|
100% |
11700
15.4 IPS |
|
|
Style Transfer (I8)
|
100% |
11622
15.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2367
84.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2522
90.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2522
90.1 IPS |
|
|
Text Classification (F32)
|
100% |
1001
1.44 KIPS |
|
|
Text Classification (F16)
|
100% |
468
673.2 IPS |
|
|
Text Classification (I8)
|
96% |
624
896.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1342
24.7 IPS |
|
|
Machine Translation (F16)
|
99% |
1737
32.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1314
24.2 IPS |
