iPhone 14 Plus
Geekbench AI Score
3280
Single Precision Score
19529
Half Precision Score
22158
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 15 2025 05:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1341
249.4 IPS |
|
|
Image Classification (HP)
|
100% |
7525
1.40 KIPS |
|
|
Image Classification (Q)
|
96% |
10474
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1324
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12692
205.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
13963
226.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6443
7.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
84006
98.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
86312
101.2 IPS |
|
|
Object Detection (SP)
|
100% |
1451
115.1 IPS |
|
|
Object Detection (HP)
|
99% |
11055
879.4 IPS |
|
|
Object Detection (Q)
|
91% |
11898
950.7 IPS |
|
|
Face Detection (SP)
|
100% |
2773
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
28013
332.9 IPS |
|
|
Face Detection (Q)
|
100% |
35739
424.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5332
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
53596
412.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
73174
571.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17540
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
157279
202.2 IPS |
|
|
Style Transfer (Q)
|
96% |
145507
187.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3820
141.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27322
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29687
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2396
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
2191
2.92 KIPS |
|
|
Text Classification (Q)
|
93% |
2247
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3666
63.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6436
110.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7484
129.3 IPS |
