iPhone 14 Pro
Geekbench AI Score
4171
Single Precision Score
4588
Half Precision Score
4310
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | barmanracing |
| Upload Date | December 09 2025 10:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1721
320.1 IPS |
|
|
Image Classification (HP)
|
100% |
1689
314.2 IPS |
|
|
Image Classification (Q)
|
96% |
1708
318.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2870
46.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2970
48.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2795
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11777
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12869
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12474
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1916
152.0 IPS |
|
|
Object Detection (HP)
|
100% |
1913
151.8 IPS |
|
|
Object Detection (Q)
|
92% |
1779
142.0 IPS |
|
|
Face Detection (SP)
|
100% |
5616
66.7 IPS |
|
|
Face Detection (HP)
|
100% |
6243
74.2 IPS |
|
|
Face Detection (Q)
|
100% |
5092
60.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8647
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9129
70.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
8371
65.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21303
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24210
31.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23489
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4965
183.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4989
184.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4352
160.7 IPS |
|
|
Text Classification (SP)
|
100% |
2744
3.66 KIPS |
|
|
Text Classification (HP)
|
99% |
4705
6.28 KIPS |
|
|
Text Classification (Q)
|
93% |
4691
6.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1015
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1034
17.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1022
17.7 IPS |
