iPhone 14 Pro
Geekbench AI Score
3384
Single Precision Score
6225
Half Precision Score
5089
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 27 2025 10:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1336
248.4 IPS |
|
|
Image Classification (HP)
|
100% |
2652
493.2 IPS |
|
|
Image Classification (Q)
|
96% |
1828
341.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1396
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2669
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6239
7.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
15069
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12762
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1460
115.8 IPS |
|
|
Object Detection (HP)
|
97% |
2944
234.4 IPS |
|
|
Object Detection (Q)
|
94% |
2106
167.8 IPS |
|
|
Face Detection (SP)
|
100% |
3055
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
6086
72.3 IPS |
|
|
Face Detection (Q)
|
100% |
3486
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5893
45.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11604
89.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8149
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17858
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29017
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24086
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3815
140.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5091
188.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3929
145.1 IPS |
|
|
Text Classification (SP)
|
100% |
2785
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
4774
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4748
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3395
58.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7047
121.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6961
120.3 IPS |
