iPhone 14 Pro
Geekbench AI Score
3408
Single Precision Score
6253
Half Precision Score
5104
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | wmnashri |
| Upload Date | October 18 2025 05:06 PM |
| Views | 8 |
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% |
1346
250.3 IPS |
|
|
Image Classification (HP)
|
100% |
2613
486.0 IPS |
|
|
Image Classification (Q)
|
96% |
1807
337.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1383
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2691
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6419
7.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
15285
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13198
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1454
115.4 IPS |
|
|
Object Detection (HP)
|
97% |
2942
234.2 IPS |
|
|
Object Detection (Q)
|
94% |
2106
167.8 IPS |
|
|
Face Detection (SP)
|
100% |
3175
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6070
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
3490
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5902
45.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11606
89.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8079
63.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17905
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29086
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24325
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3864
142.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5259
194.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3899
144.0 IPS |
|
|
Text Classification (SP)
|
100% |
2781
3.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4839
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4737
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3382
58.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7039
121.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7013
121.2 IPS |
