iPhone 14 Pro
Geekbench AI Score
3946
Single Precision Score
4312
Half Precision Score
3815
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 01:32 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1692
314.7 IPS |
|
|
Image Classification (HP)
|
100% |
1512
281.1 IPS |
|
|
Image Classification (Q)
|
97% |
1508
281.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2329
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2544
41.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2502
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11920
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
12440
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11508
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1965
155.9 IPS |
|
|
Object Detection (HP)
|
100% |
1910
151.5 IPS |
|
|
Object Detection (Q)
|
91% |
1623
129.7 IPS |
|
|
Face Detection (SP)
|
100% |
5238
62.2 IPS |
|
|
Face Detection (HP)
|
100% |
6095
72.4 IPS |
|
|
Face Detection (Q)
|
100% |
3987
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8614
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8978
69.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7418
58.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21265
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23952
30.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22020
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4938
182.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4925
181.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3971
146.6 IPS |
|
|
Text Classification (SP)
|
100% |
2667
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4717
6.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4576
6.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
785
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
799
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
785
13.6 IPS |
