iPhone 14 Pro
Geekbench AI Score
3395
Single Precision Score
6224
Half Precision Score
5086
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | wmnashri |
| Upload Date | October 18 2025 04:50 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1316
244.8 IPS |
|
|
Image Classification (HP)
|
100% |
2628
488.7 IPS |
|
|
Image Classification (Q)
|
96% |
1805
337.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1377
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2674
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6383
7.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
15143
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12962
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1449
114.9 IPS |
|
|
Object Detection (HP)
|
97% |
2942
234.2 IPS |
|
|
Object Detection (Q)
|
94% |
2110
168.1 IPS |
|
|
Face Detection (SP)
|
100% |
3156
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6052
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
3485
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5830
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11619
89.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8131
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18474
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29038
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24153
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3832
141.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5111
188.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3909
144.4 IPS |
|
|
Text Classification (SP)
|
100% |
2766
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4855
6.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4729
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3374
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6918
119.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6941
119.9 IPS |
