iPhone 14 Pro
Geekbench AI Score
3539
Single Precision Score
6186
Half Precision Score
5052
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | c_wich |
| Upload Date | April 05 2025 06:32 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1367
254.2 IPS |
|
|
Image Classification (HP)
|
100% |
2546
473.6 IPS |
|
|
Image Classification (Q)
|
96% |
1763
329.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1466
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2644
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6981
8.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
15520
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13232
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1588
125.9 IPS |
|
|
Object Detection (HP)
|
97% |
2911
231.7 IPS |
|
|
Object Detection (Q)
|
94% |
2058
164.0 IPS |
|
|
Face Detection (SP)
|
100% |
3084
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
6029
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
3496
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6048
46.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11587
89.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7989
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18812
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29744
38.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24533
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4097
151.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5110
188.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3860
142.5 IPS |
|
|
Text Classification (SP)
|
100% |
2691
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4786
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4828
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3596
61.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6599
114.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6683
115.5 IPS |
