iPhone 14 Pro
Geekbench AI Score
3559
Single Precision Score
6246
Half Precision Score
5068
Quantized Score
Geekbench AI 1.4.0-Beta1 Corporate for iOS AArch64
Result Information
| Upload Date | June 06 2025 07:51 PM |
| Views | 4 |
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% |
1435
266.8 IPS |
|
|
Image Classification (HP)
|
100% |
2562
476.5 IPS |
|
|
Image Classification (Q)
|
96% |
1765
329.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1421
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2644
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6869
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
15636
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13379
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1587
125.9 IPS |
|
|
Object Detection (HP)
|
97% |
2925
232.8 IPS |
|
|
Object Detection (Q)
|
94% |
2080
165.8 IPS |
|
|
Face Detection (SP)
|
100% |
3153
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6045
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3482
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6098
47.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11766
91.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8077
63.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18972
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
30024
38.6 IPS |
|
|
Style Transfer (Q)
|
96% |
24703
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4195
154.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5175
191.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3911
144.4 IPS |
|
|
Text Classification (SP)
|
100% |
2716
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4941
6.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4820
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3539
61.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6666
115.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6583
113.8 IPS |
