iPhone 14 Plus
Geekbench AI Score
3384
Single Precision Score
3733
Half Precision Score
3575
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | August 31 2025 05:08 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
683
127.1 IPS |
|
|
Image Classification (HP)
|
100% |
667
124.0 IPS |
|
|
Image Classification (Q)
|
96% |
1167
218.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2851
46.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2903
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2806
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11361
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
12482
14.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
12341
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1379
109.4 IPS |
|
|
Object Detection (HP)
|
100% |
1256
99.6 IPS |
|
|
Object Detection (Q)
|
92% |
1101
87.9 IPS |
|
|
Face Detection (SP)
|
100% |
5066
60.2 IPS |
|
|
Face Detection (HP)
|
100% |
6329
75.2 IPS |
|
|
Face Detection (Q)
|
100% |
4613
54.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8395
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8651
66.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
8338
65.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18499
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23138
29.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22986
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3868
142.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3779
139.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2421
89.4 IPS |
|
|
Text Classification (SP)
|
100% |
2596
3.47 KIPS |
|
|
Text Classification (HP)
|
99% |
4121
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4106
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
819
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
879
15.1 IPS |
|
|
Machine Translation (Q)
|
98% |
873
15.1 IPS |
