iPhone 14 Pro
Geekbench AI Score
4149
Single Precision Score
4567
Half Precision Score
4261
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 27 2025 06:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1677
311.8 IPS |
|
|
Image Classification (HP)
|
100% |
1558
289.7 IPS |
|
|
Image Classification (Q)
|
96% |
1630
304.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2858
46.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2930
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2830
45.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11675
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12891
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12244
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1895
150.3 IPS |
|
|
Object Detection (HP)
|
100% |
1969
156.2 IPS |
|
|
Object Detection (Q)
|
92% |
1704
136.0 IPS |
|
|
Face Detection (SP)
|
100% |
5537
65.8 IPS |
|
|
Face Detection (HP)
|
100% |
6407
76.1 IPS |
|
|
Face Detection (Q)
|
100% |
5222
62.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8829
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9077
69.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
8054
62.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21150
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23889
30.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23412
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4604
170.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4712
174.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4187
154.6 IPS |
|
|
Text Classification (SP)
|
100% |
2779
3.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4792
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4766
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1080
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1088
18.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1045
18.1 IPS |
