iPhone 14 Pro
Geekbench AI Score
3451
Single Precision Score
6130
Half Precision Score
4959
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 02:40 AM |
| Views | 14 |
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% |
1423
264.7 IPS |
|
|
Image Classification (HP)
|
100% |
2563
476.6 IPS |
|
|
Image Classification (Q)
|
96% |
1749
326.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1411
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2125
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2621
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6319
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
14706
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12404
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1563
124.0 IPS |
|
|
Object Detection (HP)
|
97% |
2900
230.9 IPS |
|
|
Object Detection (Q)
|
94% |
2052
163.5 IPS |
|
|
Face Detection (SP)
|
100% |
3102
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
5908
70.2 IPS |
|
|
Face Detection (Q)
|
100% |
3393
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5869
45.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11417
88.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8005
62.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17764
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29219
37.6 IPS |
|
|
Style Transfer (Q)
|
96% |
24022
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3909
144.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5079
187.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3839
141.8 IPS |
|
|
Text Classification (SP)
|
100% |
2695
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4802
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4748
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3555
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6712
116.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6491
112.2 IPS |
