iPhone 14 Plus
Geekbench AI Score
3282
Single Precision Score
5666
Half Precision Score
4575
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 06:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 |
| Memory Information | |
|---|---|
| Size | 5.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1373
255.4 IPS |
|
|
Image Classification (HP)
|
100% |
2361
439.0 IPS |
|
|
Image Classification (Q)
|
96% |
1629
304.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1350
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2017
32.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2494
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6330
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
13793
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11780
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1439
114.1 IPS |
|
|
Object Detection (HP)
|
97% |
2718
216.4 IPS |
|
|
Object Detection (Q)
|
94% |
1926
153.5 IPS |
|
|
Face Detection (SP)
|
100% |
2815
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
5646
67.1 IPS |
|
|
Face Detection (Q)
|
100% |
3190
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5431
41.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11152
86.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7580
59.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17365
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26764
34.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21972
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3872
143.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4793
177.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3506
129.4 IPS |
|
|
Text Classification (SP)
|
100% |
2430
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4183
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4154
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3439
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5657
97.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5636
97.4 IPS |
