iPhone 14 Pro
Geekbench AI Score
4183
Single Precision Score
4601
Half Precision Score
4303
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 24 2025 12:20 PM |
| Views | 1 |
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% |
1727
321.2 IPS |
|
|
Image Classification (HP)
|
100% |
1663
309.2 IPS |
|
|
Image Classification (Q)
|
96% |
1612
301.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2870
46.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2888
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2760
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11834
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12856
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12464
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1922
152.5 IPS |
|
|
Object Detection (HP)
|
100% |
1983
157.3 IPS |
|
|
Object Detection (Q)
|
92% |
1764
140.8 IPS |
|
|
Face Detection (SP)
|
100% |
5393
64.1 IPS |
|
|
Face Detection (HP)
|
100% |
6115
72.7 IPS |
|
|
Face Detection (Q)
|
100% |
5051
60.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8593
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8996
69.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
8324
65.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21248
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23917
30.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23530
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4987
184.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5045
186.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4323
159.6 IPS |
|
|
Text Classification (SP)
|
100% |
2765
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4750
6.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4727
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1073
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1102
19.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1101
19.0 IPS |
