iPhone 14 Pro
Geekbench AI Score
3555
Single Precision Score
6215
Half Precision Score
5048
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | winzee |
| Upload Date | August 05 2025 01:16 PM |
| Views | 10 |
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% |
1437
267.2 IPS |
|
|
Image Classification (HP)
|
100% |
2537
471.9 IPS |
|
|
Image Classification (Q)
|
96% |
1750
326.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1422
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2626
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7139
8.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
15674
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13323
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
97% |
2901
230.9 IPS |
|
|
Object Detection (Q)
|
94% |
2059
164.1 IPS |
|
|
Face Detection (SP)
|
100% |
2987
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
5972
71.0 IPS |
|
|
Face Detection (Q)
|
100% |
3454
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6121
47.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11619
89.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8003
62.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19055
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29731
38.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24484
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4186
154.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5207
192.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3884
143.4 IPS |
|
|
Text Classification (SP)
|
100% |
2709
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4886
6.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4853
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3553
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6724
116.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6688
115.6 IPS |
