iPhone 14 Pro
Geekbench AI Score
4191
Single Precision Score
4737
Half Precision Score
4357
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | July 06 2025 10:50 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1739
323.5 IPS |
|
|
Image Classification (HP)
|
100% |
1871
347.9 IPS |
|
|
Image Classification (Q)
|
96% |
1676
312.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2848
46.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3002
48.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2867
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11818
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12857
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
11972
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1761
139.7 IPS |
|
|
Object Detection (HP)
|
100% |
1945
154.3 IPS |
|
|
Object Detection (Q)
|
92% |
1793
143.2 IPS |
|
|
Face Detection (SP)
|
100% |
5560
66.1 IPS |
|
|
Face Detection (HP)
|
100% |
6510
77.4 IPS |
|
|
Face Detection (Q)
|
100% |
5339
63.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8914
68.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9415
72.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8721
68.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21024
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23857
30.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23193
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4688
173.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5020
185.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4390
162.1 IPS |
|
|
Text Classification (SP)
|
100% |
2923
3.90 KIPS |
|
|
Text Classification (HP)
|
99% |
4864
6.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4821
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1138
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1135
19.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1048
18.1 IPS |
