iPhone 14 Plus
Geekbench AI Score
3528
Single Precision Score
4251
Half Precision Score
4037
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | April 14 2026 10:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.4.1 |
| 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% |
704
131.0 IPS |
|
|
Image Classification (HP)
|
100% |
1283
238.5 IPS |
|
|
Image Classification (Q)
|
94% |
1187
221.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2834
45.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2876
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2734
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11330
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12411
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
12416
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1137
90.2 IPS |
|
|
Object Detection (HP)
|
100% |
1455
115.4 IPS |
|
|
Object Detection (Q)
|
91% |
1381
110.4 IPS |
|
|
Face Detection (SP)
|
100% |
4395
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
4756
56.5 IPS |
|
|
Face Detection (Q)
|
100% |
4524
53.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8178
63.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8828
68.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8089
63.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18547
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23021
29.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22930
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3738
138.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3763
139.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3124
115.4 IPS |
|
|
Text Classification (SP)
|
99% |
4489
5.99 KIPS |
|
|
Text Classification (HP)
|
100% |
7186
9.59 KIPS |
|
|
Text Classification (Q)
|
92% |
6944
9.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1040
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1108
19.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1136
19.6 IPS |
