iPhone 14 Pro
Geekbench AI Score
3952
Single Precision Score
4565
Half Precision Score
4356
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 12 2025 09:19 AM |
| Views | 5 |
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% |
1602
297.8 IPS |
|
|
Image Classification (HP)
|
100% |
1656
307.9 IPS |
|
|
Image Classification (Q)
|
96% |
1658
309.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2864
46.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2962
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2786
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11820
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12814
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12490
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1905
151.1 IPS |
|
|
Object Detection (HP)
|
100% |
1944
154.2 IPS |
|
|
Object Detection (Q)
|
92% |
1813
144.7 IPS |
|
|
Face Detection (SP)
|
100% |
5414
64.3 IPS |
|
|
Face Detection (HP)
|
100% |
6379
75.8 IPS |
|
|
Face Detection (Q)
|
100% |
5017
59.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5915
45.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9264
71.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
8503
66.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20920
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
24089
31.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23631
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4761
175.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5077
187.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4495
166.0 IPS |
|
|
Text Classification (SP)
|
100% |
2682
3.58 KIPS |
|
|
Text Classification (HP)
|
99% |
4467
5.96 KIPS |
|
|
Text Classification (Q)
|
93% |
4586
6.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1053
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
998
17.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1132
19.6 IPS |
