iPhone 14 Pro
Geekbench AI Score
3521
Single Precision Score
6155
Half Precision Score
5002
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 01:21 PM |
| Views | 1 |
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% |
1369
254.6 IPS |
|
|
Image Classification (HP)
|
100% |
2527
470.0 IPS |
|
|
Image Classification (Q)
|
96% |
1749
326.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1413
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2175
35.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2636
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7105
8.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
15452
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13128
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1565
124.1 IPS |
|
|
Object Detection (HP)
|
97% |
2883
229.5 IPS |
|
|
Object Detection (Q)
|
94% |
2037
162.3 IPS |
|
|
Face Detection (SP)
|
100% |
3039
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5929
70.5 IPS |
|
|
Face Detection (Q)
|
100% |
3437
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6133
47.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11400
88.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7883
61.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18943
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29337
37.7 IPS |
|
|
Style Transfer (Q)
|
96% |
24181
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4075
150.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5029
185.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3843
141.9 IPS |
|
|
Text Classification (SP)
|
100% |
2672
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4762
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4762
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3547
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6719
116.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6644
114.8 IPS |
