iPhone 14 Pro
Geekbench AI Score
3402
Single Precision Score
6216
Half Precision Score
5049
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 07:16 PM |
| Views | 1 |
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% |
1301
241.9 IPS |
|
|
Image Classification (HP)
|
100% |
2627
488.6 IPS |
|
|
Image Classification (Q)
|
96% |
1794
335.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1379
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2670
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6510
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
15541
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13086
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1440
114.3 IPS |
|
|
Object Detection (HP)
|
97% |
2907
231.4 IPS |
|
|
Object Detection (Q)
|
94% |
2089
166.5 IPS |
|
|
Face Detection (SP)
|
100% |
3137
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6130
72.8 IPS |
|
|
Face Detection (Q)
|
100% |
3459
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5909
45.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11552
89.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8003
62.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18422
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
28732
36.9 IPS |
|
|
Style Transfer (Q)
|
96% |
23939
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3828
141.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5064
187.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3859
142.5 IPS |
|
|
Text Classification (SP)
|
100% |
2790
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
4842
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4694
6.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3393
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6873
118.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6854
118.5 IPS |
