iPhone 14
Geekbench ML Score
1931
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 07:16 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% |
967
181.0 IPS |
|
|
Image Classification (F16)
|
100% |
916
171.4 IPS |
|
|
Image Classification (I8)
|
99% |
919
172.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
635
10.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
574
9.59 IPS |
|
|
Image Segmentation (I8)
|
100% |
562
9.38 IPS |
|
|
Pose Estimation (F32)
|
100% |
5507
6.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
9643
11.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
9580
11.6 IPS |
|
|
Object Detection (F32)
|
100% |
1022
76.3 IPS |
|
|
Object Detection (F16)
|
100% |
1050
78.4 IPS |
|
|
Object Detection (I8)
|
97% |
1058
79.0 IPS |
|
|
Face Detection (F32)
|
100% |
1755
20.9 IPS |
|
|
Face Detection (F16)
|
100% |
1604
19.1 IPS |
|
|
Face Detection (I8)
|
99% |
1589
18.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3317
25.7 IPS |
|
|
Depth Estimation (F16)
|
99% |
3656
28.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
3645
28.3 IPS |
|
|
Style Transfer (F32)
|
100% |
9988
13.1 IPS |
|
|
Style Transfer (F16)
|
100% |
11692
15.4 IPS |
|
|
Style Transfer (I8)
|
100% |
11673
15.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2431
86.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2569
91.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2556
91.3 IPS |
|
|
Text Classification (F32)
|
100% |
1000
1.44 KIPS |
|
|
Text Classification (F16)
|
100% |
467
671.5 IPS |
|
|
Text Classification (I8)
|
96% |
611
878.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1354
24.9 IPS |
|
|
Machine Translation (F16)
|
99% |
1761
32.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1340
24.7 IPS |
