iPhone 14 Pro
Geekbench AI Score
3522
Single Precision Score
6172
Half Precision Score
4998
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 20 2025 11:31 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1375
255.7 IPS |
|
|
Image Classification (HP)
|
100% |
2562
476.4 IPS |
|
|
Image Classification (Q)
|
96% |
1745
325.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1417
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2119
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2639
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6913
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
15326
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13074
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1564
124.1 IPS |
|
|
Object Detection (HP)
|
97% |
2875
228.9 IPS |
|
|
Object Detection (Q)
|
94% |
2044
162.9 IPS |
|
|
Face Detection (SP)
|
100% |
3057
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
5931
70.5 IPS |
|
|
Face Detection (Q)
|
100% |
3421
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6136
47.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11388
88.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7898
61.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18747
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29355
37.7 IPS |
|
|
Style Transfer (Q)
|
96% |
24180
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4088
151.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5116
188.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3824
141.2 IPS |
|
|
Text Classification (SP)
|
100% |
2705
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4961
6.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4832
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3595
61.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6668
115.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6549
113.2 IPS |
