iPhone 14 Pro
Geekbench AI Score
4217
Single Precision Score
4579
Half Precision Score
4338
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 09:27 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% |
1855
344.9 IPS |
|
|
Image Classification (HP)
|
100% |
1640
304.9 IPS |
|
|
Image Classification (Q)
|
96% |
1662
310.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2889
46.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2948
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2780
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11727
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12837
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12466
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1939
153.8 IPS |
|
|
Object Detection (HP)
|
100% |
1917
152.1 IPS |
|
|
Object Detection (Q)
|
92% |
1779
142.0 IPS |
|
|
Face Detection (SP)
|
100% |
5508
65.4 IPS |
|
|
Face Detection (HP)
|
100% |
6391
75.9 IPS |
|
|
Face Detection (Q)
|
100% |
5120
60.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8655
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9030
69.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
8541
66.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21341
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24203
31.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23694
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4931
182.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5028
185.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4323
159.6 IPS |
|
|
Text Classification (SP)
|
100% |
2785
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
4783
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4761
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1046
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1015
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1081
18.7 IPS |
