iPhone 14
Geekbench ML Score
1921
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 06:42 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% |
948
177.4 IPS |
|
|
Image Classification (F16)
|
100% |
914
171.0 IPS |
|
|
Image Classification (I8)
|
99% |
914
171.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
627
10.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
569
9.50 IPS |
|
|
Image Segmentation (I8)
|
100% |
561
9.37 IPS |
|
|
Pose Estimation (F32)
|
100% |
5417
6.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
9542
11.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
9529
11.5 IPS |
|
|
Object Detection (F32)
|
100% |
1023
76.4 IPS |
|
|
Object Detection (F16)
|
100% |
1053
78.6 IPS |
|
|
Object Detection (I8)
|
97% |
1026
76.6 IPS |
|
|
Face Detection (F32)
|
100% |
1736
20.6 IPS |
|
|
Face Detection (F16)
|
100% |
1576
18.7 IPS |
|
|
Face Detection (I8)
|
99% |
1588
18.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3258
25.3 IPS |
|
|
Depth Estimation (F16)
|
99% |
3669
28.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
3627
28.1 IPS |
|
|
Style Transfer (F32)
|
100% |
9786
12.9 IPS |
|
|
Style Transfer (F16)
|
100% |
11700
15.4 IPS |
|
|
Style Transfer (I8)
|
100% |
11763
15.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2395
85.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2560
91.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2546
90.9 IPS |
|
|
Text Classification (F32)
|
100% |
992
1.43 KIPS |
|
|
Text Classification (F16)
|
100% |
472
677.9 IPS |
|
|
Text Classification (I8)
|
96% |
639
918.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1356
25.0 IPS |
|
|
Machine Translation (F16)
|
99% |
1740
32.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1338
24.6 IPS |
