iPhone 14 Pro
Geekbench AI Score
3514
Single Precision Score
6182
Half Precision Score
5019
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 23 2025 04:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1401
260.6 IPS |
|
|
Image Classification (HP)
|
100% |
2548
473.9 IPS |
|
|
Image Classification (Q)
|
96% |
1747
326.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1416
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2629
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6931
8.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
15400
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13183
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
97% |
2896
230.5 IPS |
|
|
Object Detection (Q)
|
94% |
2056
163.9 IPS |
|
|
Face Detection (SP)
|
100% |
3013
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
5976
71.0 IPS |
|
|
Face Detection (Q)
|
100% |
3455
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6079
46.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11585
89.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7934
62.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19051
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29646
38.1 IPS |
|
|
Style Transfer (Q)
|
96% |
24417
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4081
150.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5179
191.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3862
142.6 IPS |
|
|
Text Classification (SP)
|
100% |
2694
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4809
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4765
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3457
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6608
114.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6616
114.3 IPS |
