iPhone 14 Pro
Geekbench AI Score
3486
Single Precision Score
6156
Half Precision Score
5002
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 12:17 AM |
| Views | 12 |
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% |
1434
266.6 IPS |
|
|
Image Classification (HP)
|
100% |
2573
478.4 IPS |
|
|
Image Classification (Q)
|
96% |
1750
326.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1427
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2632
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6567
7.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
14957
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12692
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1537
121.9 IPS |
|
|
Object Detection (HP)
|
97% |
2901
231.0 IPS |
|
|
Object Detection (Q)
|
94% |
2055
163.8 IPS |
|
|
Face Detection (SP)
|
100% |
3036
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5949
70.7 IPS |
|
|
Face Detection (Q)
|
100% |
3440
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5950
45.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11649
90.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7984
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18347
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29032
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24119
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3980
147.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5167
190.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3884
143.4 IPS |
|
|
Text Classification (SP)
|
100% |
2703
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4774
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4761
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3600
62.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6689
115.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6675
115.4 IPS |
