iPhone 14 Pro
Geekbench AI Score
4191
Single Precision Score
4504
Half Precision Score
4268
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 02:56 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1726
321.0 IPS |
|
|
Image Classification (HP)
|
100% |
1515
281.8 IPS |
|
|
Image Classification (Q)
|
96% |
1659
309.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2833
45.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2918
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2747
44.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11650
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12423
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
11834
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
2051
162.7 IPS |
|
|
Object Detection (HP)
|
100% |
1918
152.1 IPS |
|
|
Object Detection (Q)
|
92% |
1732
138.3 IPS |
|
|
Face Detection (SP)
|
100% |
5532
65.7 IPS |
|
|
Face Detection (HP)
|
100% |
6437
76.5 IPS |
|
|
Face Detection (Q)
|
100% |
5201
61.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8692
67.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9041
69.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8334
65.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21096
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23411
30.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22757
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4678
172.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4776
176.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4185
154.5 IPS |
|
|
Text Classification (SP)
|
100% |
2687
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4790
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4764
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1123
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1047
18.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1092
18.9 IPS |
