iPhone 14 Pro
Geekbench AI Score
4203
Single Precision Score
4574
Half Precision Score
4324
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | xplo |
| Upload Date | September 13 2025 06:55 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1752
325.8 IPS |
|
|
Image Classification (HP)
|
100% |
1619
301.1 IPS |
|
|
Image Classification (Q)
|
96% |
1632
304.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2863
46.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2913
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2807
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11731
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12810
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12448
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1999
158.6 IPS |
|
|
Object Detection (HP)
|
100% |
1970
156.3 IPS |
|
|
Object Detection (Q)
|
92% |
1759
140.4 IPS |
|
|
Face Detection (SP)
|
100% |
5452
64.8 IPS |
|
|
Face Detection (HP)
|
100% |
6159
73.2 IPS |
|
|
Face Detection (Q)
|
100% |
5102
60.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8576
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9023
69.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8230
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21390
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24199
31.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23459
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4943
182.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5112
188.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4440
164.0 IPS |
|
|
Text Classification (SP)
|
100% |
2712
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4845
6.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4826
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1092
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1080
18.7 IPS |
