iPhone 14 Pro
Geekbench AI Score
3541
Single Precision Score
6203
Half Precision Score
5058
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 15 2025 09:17 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1378
256.2 IPS |
|
|
Image Classification (HP)
|
100% |
2542
472.8 IPS |
|
|
Image Classification (Q)
|
96% |
1756
328.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1423
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2638
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7119
8.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
15624
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13290
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.7 IPS |
|
|
Object Detection (HP)
|
97% |
2907
231.4 IPS |
|
|
Object Detection (Q)
|
94% |
2062
164.3 IPS |
|
|
Face Detection (SP)
|
100% |
3078
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
6000
71.3 IPS |
|
|
Face Detection (Q)
|
100% |
3460
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6099
47.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11542
89.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7952
62.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19196
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29723
38.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24494
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4120
152.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5106
188.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3875
143.1 IPS |
|
|
Text Classification (SP)
|
100% |
2709
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4906
6.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4916
6.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3489
60.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6693
115.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6731
116.3 IPS |
