iPhone 14 Pro
Geekbench AI Score
4191
Single Precision Score
4632
Half Precision Score
4325
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 27 2025 10:18 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1771
329.4 IPS |
|
|
Image Classification (HP)
|
100% |
1700
316.2 IPS |
|
|
Image Classification (Q)
|
96% |
1672
312.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2877
46.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2918
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2795
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11810
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12914
15.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
12562
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1980
157.0 IPS |
|
|
Object Detection (HP)
|
100% |
1961
155.6 IPS |
|
|
Object Detection (Q)
|
92% |
1810
144.5 IPS |
|
|
Face Detection (SP)
|
100% |
5558
66.0 IPS |
|
|
Face Detection (HP)
|
100% |
6361
75.6 IPS |
|
|
Face Detection (Q)
|
100% |
5079
60.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8645
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9090
70.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
8700
68.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21397
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24368
31.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23758
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4841
178.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5144
189.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4399
162.4 IPS |
|
|
Text Classification (SP)
|
100% |
2788
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
4782
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4749
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1045
18.0 IPS |
|
|
Machine Translation (Q)
|
98% |
984
17.0 IPS |
