iPhone 14
Geekbench ML Score
1907
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 22 2024 05:16 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% |
965
180.6 IPS |
|
|
Image Classification (F16)
|
100% |
906
169.6 IPS |
|
|
Image Classification (I8)
|
99% |
909
170.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
618
10.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
562
9.38 IPS |
|
|
Image Segmentation (I8)
|
100% |
550
9.18 IPS |
|
|
Pose Estimation (F32)
|
100% |
5275
6.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
9646
11.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
9515
11.5 IPS |
|
|
Object Detection (F32)
|
100% |
1016
75.9 IPS |
|
|
Object Detection (F16)
|
100% |
1045
78.0 IPS |
|
|
Object Detection (I8)
|
97% |
1051
78.5 IPS |
|
|
Face Detection (F32)
|
100% |
1771
21.1 IPS |
|
|
Face Detection (F16)
|
100% |
1552
18.4 IPS |
|
|
Face Detection (I8)
|
99% |
1532
18.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
3243
25.1 IPS |
|
|
Depth Estimation (F16)
|
99% |
3650
28.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
3628
28.1 IPS |
|
|
Style Transfer (F32)
|
100% |
9664
12.7 IPS |
|
|
Style Transfer (F16)
|
100% |
11423
15.0 IPS |
|
|
Style Transfer (I8)
|
100% |
11457
15.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2381
85.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2533
90.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2549
91.0 IPS |
|
|
Text Classification (F32)
|
100% |
989
1.42 KIPS |
|
|
Text Classification (F16)
|
100% |
478
687.3 IPS |
|
|
Text Classification (I8)
|
96% |
646
928.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1335
24.6 IPS |
|
|
Machine Translation (F16)
|
99% |
1707
31.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1300
23.9 IPS |
