iPhone 14 Pro
Geekbench AI Score
3368
Single Precision Score
6210
Half Precision Score
5067
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | piotrga |
| Upload Date | September 21 2025 09:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1341
249.4 IPS |
|
|
Image Classification (HP)
|
100% |
2623
487.7 IPS |
|
|
Image Classification (Q)
|
96% |
1807
337.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1387
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2673
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6087
7.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
15062
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12568
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1460
115.8 IPS |
|
|
Object Detection (HP)
|
97% |
2939
234.0 IPS |
|
|
Object Detection (Q)
|
94% |
2105
167.8 IPS |
|
|
Face Detection (SP)
|
100% |
3060
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
5990
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
3464
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5859
45.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11600
89.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8092
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17877
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28881
37.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23976
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3807
140.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5190
191.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3891
143.7 IPS |
|
|
Text Classification (SP)
|
100% |
2773
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4778
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4760
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3364
57.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6976
120.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7025
121.4 IPS |
