iPhone 14 Pro
Geekbench AI Score
3604
Single Precision Score
6271
Half Precision Score
5126
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 27 2025 01:39 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1438
267.5 IPS |
|
|
Image Classification (HP)
|
100% |
2599
483.3 IPS |
|
|
Image Classification (Q)
|
96% |
1816
339.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1453
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2658
43.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6969
8.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
15531
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13231
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
97% |
2948
234.7 IPS |
|
|
Object Detection (Q)
|
94% |
2117
168.8 IPS |
|
|
Face Detection (SP)
|
100% |
3267
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
6092
72.4 IPS |
|
|
Face Detection (Q)
|
100% |
3493
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6148
47.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11686
90.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8094
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18790
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29769
38.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24654
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4079
150.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5164
190.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3897
143.9 IPS |
|
|
Text Classification (SP)
|
100% |
2835
3.78 KIPS |
|
|
Text Classification (HP)
|
99% |
4814
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4876
6.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3718
64.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7092
122.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6997
120.9 IPS |
