iPhone 14 Plus
Geekbench ML Score
3347
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 30 2024 12:25 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPhone 14 Plus |
| Model ID | iPhone14,8 |
| Motherboard | D28AP |
| 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 | 5.51 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1406
263.1 IPS |
|
|
Image Classification (F16)
|
100% |
1743
326.1 IPS |
|
|
Image Classification (I8)
|
99% |
1751
327.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
831
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
826
13.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
822
13.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5735
6.95 IPS |
|
|
Pose Estimation (F16)
|
100% |
13455
16.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
13449
16.3 IPS |
|
|
Object Detection (F32)
|
100% |
1382
103.2 IPS |
|
|
Object Detection (F16)
|
100% |
1863
139.1 IPS |
|
|
Object Detection (I8)
|
97% |
1379
102.9 IPS |
|
|
Face Detection (F32)
|
100% |
2490
29.6 IPS |
|
|
Face Detection (F16)
|
97% |
3973
47.2 IPS |
|
|
Face Detection (I8)
|
97% |
3966
47.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5101
39.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
8205
63.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
8169
63.4 IPS |
|
|
Style Transfer (F32)
|
100% |
16446
21.6 IPS |
|
|
Style Transfer (F16)
|
100% |
25092
33.0 IPS |
|
|
Style Transfer (I8)
|
100% |
25128
33.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3768
134.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4884
174.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5000
178.6 IPS |
|
|
Text Classification (F32)
|
100% |
2201
3.16 KIPS |
|
|
Text Classification (F16)
|
100% |
3525
5.07 KIPS |
|
|
Text Classification (I8)
|
96% |
3497
5.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
1152
21.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1385
25.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1111
20.4 IPS |
