iPhone 14 Pro
Geekbench AI Score
4173
Single Precision Score
4595
Half Precision Score
4283
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 16 2025 08:02 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1665
309.6 IPS |
|
|
Image Classification (HP)
|
100% |
1597
297.1 IPS |
|
|
Image Classification (Q)
|
94% |
1648
308.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2875
46.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2875
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2753
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11769
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12879
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12474
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1980
157.1 IPS |
|
|
Object Detection (HP)
|
100% |
1948
154.5 IPS |
|
|
Object Detection (Q)
|
90% |
1812
144.9 IPS |
|
|
Face Detection (SP)
|
100% |
5605
66.6 IPS |
|
|
Face Detection (HP)
|
100% |
6583
78.2 IPS |
|
|
Face Detection (Q)
|
100% |
5096
60.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8726
67.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9259
71.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8278
64.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21546
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
24292
31.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23784
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4872
179.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5157
190.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4319
159.5 IPS |
|
|
Text Classification (SP)
|
100% |
2766
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4761
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4808
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1013
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1004
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
973
16.8 IPS |
