iPhone 14 Pro
Geekbench AI Score
3240
Single Precision Score
6113
Half Precision Score
4888
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Chris Sack |
| Upload Date | September 27 2025 12:52 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1307
243.1 IPS |
|
|
Image Classification (HP)
|
100% |
2641
491.2 IPS |
|
|
Image Classification (Q)
|
96% |
1814
338.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1346
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2581
41.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5777
6.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
14448
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
10182
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1291
102.4 IPS |
|
|
Object Detection (HP)
|
97% |
2903
231.1 IPS |
|
|
Object Detection (Q)
|
94% |
2026
161.5 IPS |
|
|
Face Detection (SP)
|
100% |
2907
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
5827
69.2 IPS |
|
|
Face Detection (Q)
|
100% |
3369
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5655
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11597
89.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8069
63.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17029
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28081
36.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23389
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3736
137.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5098
188.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3890
143.6 IPS |
|
|
Text Classification (SP)
|
100% |
2785
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
4774
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4737
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3345
57.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6779
117.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6890
119.1 IPS |
