iPhone 14 Plus
Geekbench ML Score
3348
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 17 2024 09:55 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1401
262.3 IPS |
|
|
Image Classification (F16)
|
100% |
1747
326.9 IPS |
|
|
Image Classification (I8)
|
99% |
1751
327.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
852
14.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
836
14.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
831
13.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
5519
6.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
13421
16.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
13475
16.3 IPS |
|
|
Object Detection (F32)
|
100% |
1382
103.2 IPS |
|
|
Object Detection (F16)
|
100% |
1894
141.4 IPS |
|
|
Object Detection (I8)
|
97% |
1385
103.4 IPS |
|
|
Face Detection (F32)
|
100% |
2440
29.0 IPS |
|
|
Face Detection (F16)
|
97% |
3907
46.5 IPS |
|
|
Face Detection (I8)
|
97% |
3909
46.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
4809
37.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
8109
62.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
8137
63.1 IPS |
|
|
Style Transfer (F32)
|
100% |
16407
21.6 IPS |
|
|
Style Transfer (F16)
|
100% |
25333
33.3 IPS |
|
|
Style Transfer (I8)
|
100% |
25444
33.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3808
136.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5097
182.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5096
182.0 IPS |
|
|
Text Classification (F32)
|
100% |
2228
3.20 KIPS |
|
|
Text Classification (F16)
|
100% |
3430
4.93 KIPS |
|
|
Text Classification (I8)
|
96% |
3484
5.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
1190
21.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1362
25.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1131
20.8 IPS |
