iPhone 14 Pro
Geekbench AI Score
4302
Single Precision Score
4609
Half Precision Score
4475
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 08:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone 14 Pro |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1970
366.4 IPS |
|
|
Image Classification (HP)
|
100% |
1931
359.1 IPS |
|
|
Image Classification (Q)
|
96% |
1919
358.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2995
48.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3112
50.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2875
46.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11077
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
9737
11.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
13035
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
2145
170.1 IPS |
|
|
Object Detection (HP)
|
100% |
2124
168.5 IPS |
|
|
Object Detection (Q)
|
92% |
1966
157.0 IPS |
|
|
Face Detection (SP)
|
100% |
5666
67.3 IPS |
|
|
Face Detection (HP)
|
100% |
6659
79.1 IPS |
|
|
Face Detection (Q)
|
100% |
5423
64.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8955
69.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9571
73.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
8483
66.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21621
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
18228
23.4 IPS |
|
|
Style Transfer (Q)
|
96% |
20115
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5108
188.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5559
205.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4529
167.2 IPS |
|
|
Text Classification (SP)
|
100% |
2578
3.44 KIPS |
|
|
Text Classification (HP)
|
99% |
4932
6.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4843
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1073
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1094
18.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1124
19.4 IPS |
