iPhone 14
Geekbench ML Score
1897
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 16 2024 05:07 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% |
953
178.4 IPS |
|
|
Image Classification (F16)
|
100% |
908
170.0 IPS |
|
|
Image Classification (I8)
|
99% |
911
170.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
627
10.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
555
9.27 IPS |
|
|
Image Segmentation (I8)
|
100% |
543
9.06 IPS |
|
|
Pose Estimation (F32)
|
100% |
5274
6.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
9617
11.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
9537
11.5 IPS |
|
|
Object Detection (F32)
|
100% |
1041
77.7 IPS |
|
|
Object Detection (F16)
|
100% |
1035
77.3 IPS |
|
|
Object Detection (I8)
|
97% |
1047
78.2 IPS |
|
|
Face Detection (F32)
|
100% |
1709
20.3 IPS |
|
|
Face Detection (F16)
|
100% |
1542
18.3 IPS |
|
|
Face Detection (I8)
|
99% |
1528
18.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
3217
24.9 IPS |
|
|
Depth Estimation (F16)
|
99% |
3636
28.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
3450
26.8 IPS |
|
|
Style Transfer (F32)
|
100% |
9626
12.7 IPS |
|
|
Style Transfer (F16)
|
100% |
11443
15.1 IPS |
|
|
Style Transfer (I8)
|
100% |
11269
14.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2370
84.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2561
91.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2545
90.9 IPS |
|
|
Text Classification (F32)
|
100% |
994
1.43 KIPS |
|
|
Text Classification (F16)
|
100% |
471
676.8 IPS |
|
|
Text Classification (I8)
|
96% |
619
889.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1349
24.8 IPS |
|
|
Machine Translation (F16)
|
99% |
1704
31.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1313
24.2 IPS |
