iPhone 14 Plus
Geekbench AI Score
3268
Single Precision Score
5651
Half Precision Score
4562
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 05 2025 11:39 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 |
| Memory Information | |
|---|---|
| Size | 5.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1347
250.5 IPS |
|
|
Image Classification (HP)
|
100% |
2383
443.2 IPS |
|
|
Image Classification (Q)
|
96% |
1629
304.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1336
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2007
32.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2497
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6233
7.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
13737
16.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11451
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1444
114.5 IPS |
|
|
Object Detection (HP)
|
97% |
2708
215.6 IPS |
|
|
Object Detection (Q)
|
94% |
1919
153.0 IPS |
|
|
Face Detection (SP)
|
100% |
2830
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
5692
67.6 IPS |
|
|
Face Detection (Q)
|
100% |
3160
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5401
41.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11136
86.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7559
59.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17310
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26805
34.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21859
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3850
142.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4699
173.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3473
128.2 IPS |
|
|
Text Classification (SP)
|
100% |
2451
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4168
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4216
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3438
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5619
97.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5722
98.9 IPS |
