iPhone 14
Geekbench ML Score
1902
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 12 2024 01:39 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% |
936
175.1 IPS |
|
|
Image Classification (F16)
|
100% |
904
169.1 IPS |
|
|
Image Classification (I8)
|
99% |
914
171.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
631
10.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
564
9.43 IPS |
|
|
Image Segmentation (I8)
|
100% |
564
9.42 IPS |
|
|
Pose Estimation (F32)
|
100% |
5402
6.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
9614
11.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
9600
11.6 IPS |
|
|
Object Detection (F32)
|
100% |
1041
77.7 IPS |
|
|
Object Detection (F16)
|
100% |
1031
77.0 IPS |
|
|
Object Detection (I8)
|
97% |
1012
75.6 IPS |
|
|
Face Detection (F32)
|
100% |
1741
20.7 IPS |
|
|
Face Detection (F16)
|
100% |
1564
18.6 IPS |
|
|
Face Detection (I8)
|
99% |
1523
18.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
3174
24.6 IPS |
|
|
Depth Estimation (F16)
|
99% |
3556
27.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
3495
27.1 IPS |
|
|
Style Transfer (F32)
|
100% |
9647
12.7 IPS |
|
|
Style Transfer (F16)
|
100% |
11454
15.1 IPS |
|
|
Style Transfer (I8)
|
100% |
11266
14.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2393
85.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2546
90.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2556
91.3 IPS |
|
|
Text Classification (F32)
|
100% |
981
1.41 KIPS |
|
|
Text Classification (F16)
|
100% |
464
666.7 IPS |
|
|
Text Classification (I8)
|
96% |
643
923.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1341
24.7 IPS |
|
|
Machine Translation (F16)
|
99% |
1735
31.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1329
24.5 IPS |
